Best Data Engineering Services Companies in the United States of America
Businesses across the United States rely on top data engineering companies to transform raw data into clear, valuable insights. These companies specialize in engineering data management, data platform engineering, and data reliability engineering, offering crucial data engineering services to support growth and informed decision-making. Skilled teams, including Azure data engineers, Microsoft data engineers, and experts in data engineering with Python, help manage complex projects and ensure data quality for consistent, accurate results.
With expertise in areas like data quality engineering and engineering data management, these companies provide solutions tailored to the needs of modern businesses. From creating efficient data platforms to delivering high standards of data reliability, the best data engineering firms in the USA empower businesses to leverage their data for strategic advantage. Here is a list of top companies making a difference in data engineering, helping organizations harness the true potential of data.
Comparative Market Share of Data Engineering Solutions
| Service Category | Description | Market Share (%) | Key Players |
|---|---|---|---|
| Comprehensive Data Engineering Services | Full-suite data engineering solutions that cover data integration, processing, and management | 22 | TCS, Infosys, Accenture |
| Engineering Data Management | Specialized in managing and organizing large volumes of structured and unstructured data | 18 | IBM, Cognizant, Wipro |
| Platform Engineering Services | Platform-based services enabling scalable, high-performing data processing solutions | 15 | AWS, Google Cloud, Microsoft Azure |
| Data Quality and Reliability | Services focused on ensuring data accuracy, consistency, and security | 20 | Talend, Informatica, Snowflake |
| Python Data Engineering | Data engineering services leveraging Python for flexible, efficient data processing | 10 | Srokelit, Echoinnovate IT, Six Feet Up |
| AI and ML Integration | Integration of AI and ML technologies for advanced analytics and predictive data | 15 | H2O.ai, DataRobot, SAS |
Insights from Research Data
- Comprehensive Data Engineering Services: Leading the market, comprehensive services are highly valued by large organizations for end-to-end data solutions, capturing 22% of market demand.
- Data Quality and Reliability: With a 20% share, this category emphasizes accuracy, an increasing focus given data privacy and regulatory requirements.
- Engineering Data Management and Platform Engineering Services: Highly sought after for data structuring and scalable platforms, these services hold significant shares at 18% and 15%, respectively.
- Python Data Engineering: Python’s versatility in data manipulation makes this service important, especially for custom solutions, with a 10% share.
- AI and ML Integration: Holding 15%, this category is growing due to the rising importance of data-driven insights and predictive capabilities in data engineering.
- Databricks
- AI Development
- Chatbots & Conversational AI
- Machine Learning
- Analytics8
- AI Development
- BI & Big Data Consulting
- SI Business Consulting
- AskGalore
- Search Engine Optimization
- AI Development
- Blockchain
- Hex Technologies
- Business process service
- cloud
- Data and AI Solution
- Chronosphere
- open source data collection
- Control plane
- telemetry visualization
- Cbeyondata
- BI & Big Data Consulting
- SI
- Innowise
- AI Development
- Web Development
- Mobile App Development
- ProCogia
- AI Consulting
- AI Development
- Data Annotation Services
- RTS Labs
- Business Consulting
- BI & Big Data Consulting & SI
- Digital Marketing
- Kanda Software
- Custom Software Development
- Cloud Consulting & SI
- AI Development
- Infomatics Corp
- IT Managed Services
- IT Strategy Consulting
- Custom Software Development
- HatchWorks
- AI Consulting
- AI Development
- Custom Software Development
- EffectiveSoft
- AI Development
- AR/VR Development
- BI & Big Data Consulting & SI
- Data Monsters
- AI Development
- BI & Big Data Consulting & SI
- Custom Software Development
- Pure Spectrum
- Online Sampling
- Technology
- Marketplace
- Six Feet Up
- Custom Software Development AI Development
- AI Development
- BI & Big Data Consulting & SI
- BigChalk
- Data Science
- Data Engineering
- Marketing & Sales
- Sparkfish
- BI & Big Data Consulting & SI
- Custom Software Development
- AI Development
- BlueCloud Technologies
- Cloud Consulting & SI
- IT managed services
- DataMade
- Web Development
- Web Design
- BI & Big Data Consulting & SI
- Serokell
- AI Development
- AI Consulting
- Custom Software Development
- Face Interactive
- BI & Big Data Consulting & SI
- Business Consulting
- CRM Consulting and SI
- Cobit Solutions
- BI and analytics benefits
- Dashboard development service
- EchoInnovate IT
- Custom Software Development
- Mobile app development
- Web development
- Cyber Defence Group
- Cybersecurity risk assessment.
- Cybersecurity as a service
- Incident response
- Blackburn Labs
- Custom Software Development
- BI & Big Data Consulting & SI
- Enterprise App Modernization
- Traction Consulting
- CRM Consulting and SI
- ERP Consulting and SI
- BI & Big Data Consulting & SI
- Vintage IT Services
- Other IT Consulting and SI
- IT managed service
- IT strategy consulting
Databricks is a leading Data and AI company. Over 10,000 organizations worldwide—including Block, Comcast, Condé Nast, Rivian, Shell, and more than 60% of the Fortune 500—use the Databricks Data Intelligence Platform to manage and use their data with AI. Databricks, headquartered in San Francisco with offices worldwide, was founded by the original creators of the Lakehouse, Apache Spark™, Delta Lake, and MLflow. The platform enables seamless collaboration for data science, data engineering, and business teams, supporting engineering data management, data engineering, and Azure data engineers, with tools for data engineering in Python and Microsoft data engineers.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2013 | 249-999 Employees | San Francisco, California | USA | | Visit Website |
One of the Best Data Solution Companies Providing End-to-End Data Engineering
Analytics8 is a data and analytics consultancy that helps companies turn data into useful information to stay competitive. Data and analytics can feel complex, but Analytics8 specializes in guiding businesses through these challenges so they can understand and use their data to improve operations.
Having completed hundreds of projects to support clients in adapting, modernizing, or growing, Analytics8 covers the entire data lifecycle, including engineering data management, data engineering, and data governance. The company provides end-to-end solutions that are future-ready, scalable, and flexible. With expertise in Azure data engineering, data engineering in Python, and support for Microsoft data engineers, Analytics8 delivers solutions tailored to meet any data need.
| Founded Year | Team Size | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|
| 2002 | 50-249 Employees | $75,000+ | Chicago, Illinois | England, USA | | Visit Website |
AskGalore: Expert Data Management and Quality Engineering Services
AskGalore, with over 7 years of experience, provides AI Product Engineering and Blockchain solutions for startups and Fortune 500 companies. Their services include AI Development, Computer Vision Consulting, Generative AI, Prompt Engineering, Natural Language Processing, LLM development, and Machine Learning model creation.
AskGalore also offers Blockchain consulting for Smart Contract development, NFT Marketplace creation, Web3 wallet development,Cryptocurrency token development, and DeFi and DApps solutions. The team includes full-stack AI and Web3 developers with skills in DevOps, Cloud Engineering, MERN stack, Node.js, React.js, Next.js, and Python.
In data services, AskGalore specializes in data engineering services, engineering data management, and data platform engineering. The team includes Azure data engineers, Microsoft data engineers, and experts in data engineering with Python.Additionally, AskGalore delivers AI-powered SEO tools and maintains high standards in data reliability engineering and data quality engineering to support optimal performance. AskGalore combines Full-Stack development with AI ML and Web3 projects to create powerful software and tech products. Beyond AI, AskGalore also provides AI powered SEO services and 3D AI Chatbot Agents for Sales and Customer Service.
Explore AI consulting services of AskGalore:
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2018 | 50-100 Employees | $25 - $50 / hr | $10,000+ | Bhopal, India | Australia, USA, Netherlands, Canada, India | | Visit Website |
Enhancing Data Engineering with Tools for Azure and Microsoft Engineers
Hex is transforming how people use data by creating a collaborative and shareable analytics workspace. This platform allows users to explore new questions and share insights seamlessly within a single product, aiming to unlock the full potential of data analytics. Hex provides a strong foundation for engineering data management and data engineering, supporting Azure data engineers and those using data engineering in Python. With a big vision for the future, Hex helps Microsoft data engineers and analytics teams work together with ease and efficiency.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 1992 | 51-200 Employees | MA, USA | USA | | Visit Website |
A Leading Platform for Engineering Data Management
Chronosphere is an observability platform designed to help businesses manage rapid data growth and cloud-native complexities, providing control and boosting business confidence. Backed by investors like Greylock, Lux Capital, General Atlantic, Addition, and Founders Fund, Chronosphere has major offices in New York, Seattle, and Vilnius. The company’s vision is to drive global innovation by enabling businesses to reach higher operational excellence. With a mission to make observability a competitive advantage, Chronosphere supports data engineering, engineering data management, and offers tools valuable to Microsoft data engineers, Azure data engineers, and those working with data engineering in Python.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2019 | 201-500 Employees | New York, NY | USA | | Visit Website |
cBEYONData helps government agencies improve operations by connecting data and finances. Specializing in data engineering services, cBEYONData diagnoses, designs, and implements processes, platforms, and tools that support effective government operations. By combining expert advice, technology, and implementation skills, cBEYONData empowers clients to make the best use of their budgets, people, and mission. With expertise in engineering data management, data platform engineering, and data reliability engineering, the company also supports Azure data engineers, Microsoft data engineers, and those working with data engineering in Python. cBEYONData ensures data quality for effective, efficient government performance.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2011 | 50-249 Employees | $100 - $149 / hr | $5,000+ | Arlington, VA | USA | | Visit Website |
Among the Best Data Engineering Companies for Innovative Solutions
Innowise is an international software development company with key centers in Europe and offices worldwide. With over 1,600 skilled IT professionals, Innowise delivers a wide range of services to make businesses more innovative and successful. The company provides data engineering services, team extension, custom software development, IT outsourcing, software project rescue, and UI/UX design.
Innowise’s team includes experts in data engineering, engineering data management, and data reliability engineering. Specialists like Azure data engineers, data platform engineeringexperts, data quality engineers, Microsoft data engineers, and those skilled in data engineering with Python are part of their extensive team.
Innowise has deep expertise in cloud and DevOps, big data, AI, machine learning, IoT, and computer vision. Since 2007, the company has completed over 850 projects across sectors like FinTech, MedTech, eCommerce, public services, and more. Combining technical skills with business knowledge, Innowise tackles challenges of any size and complexity, committed to high coding standards and a philosophy of wise innovation.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2007 | 100-9,999 Employees | $50 - $99 / hr | $10,000 | Warszawa , Poland | USA Germany Italy Poland Sweden UK | | Visit Website |
Azure and Microsoft Data Engineers at ProCogia for Advanced Data Solutions
ProCogia provides a full range of solutions to support every stage of data evolution. With expertise in data engineering, data operations, and artificial intelligence, ProCogia ensures data integrity while equipping businesses with advanced AI and machine learning tools. This comprehensive approach builds a strong foundation for data analytics and data science, giving teams a competitive edge.
ProCogia’s expertise includes engineering data management, data platform engineering, and data engineering services, with skilled Azure data engineers, Microsoft data engineers, and professionals experienced in data engineering with Python. High standards are maintained with data reliability engineering and dedicated data quality engineers to ensure data integrity.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2013 | 50-249 Employees | $150 - $199 / hr | $5,000+ | Washington, USA | USA, Toronto, Canada Gurugram, India | | Visit Website |
Unlocking actionable insights from data can be challenging, but RTS Labs makes it easier. Unlike many in the market, RTS Labs approaches data science as a team effort, bringing together experts to address each client’s unique needs. Specializing in data engineering and custom machine learning infrastructures for mid-sized companies, RTS Labs enables real-time, data-driven decisions.
With expertise in data engineering services, engineering data management, and data platform engineering, the team includes skilled Azure data engineers, Microsoft data engineers, and professionals with experience in data engineering with Python. Dedicated to quality and reliability, RTS Labs also provides data quality engineers and data reliability engineering to ensure continuous improvement and accurate insights, helping businesses make better decisions.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2012 | 10-49 Employees | $25 - $50 / hr | $5,000+ | Glen Allen, VA | USA | | Visit Website |
Kanda is a trusted full-service partner for software engineering, digital transformation, and QA with over 30 years of experience. Specializing in fast, innovative SaaS, mobile, and on-premises solutions, Kanda combines domain expertise with top engineering talent. The company has delivered over three thousand successful projects to a wide range of clients, from large corporations to startups, including digital healthcare innovators, software vendors, and financial services providers.
Kanda offers a range of services including custom software development, cloud engineering, business intelligence solutions, and data analytics and data warehousing. The team’s expertise includes data engineering services, engineering data management, and data platform engineering, along with specialized Azure data engineers, Microsoft data engineers, and professionals skilled in data engineering with Python. Dedicated data reliability engineers and data quality engineers ensure high standards across projects.
With a 95% success rate for projects reaching the market, Kanda stands out with a client-centered approach, Agile-certified professionals, and a two-shore delivery model that combines U.S.-based management with technical teams in Europe and Latin America. Partnerships with Google Cloud, AWS, and Microsoft further strengthen Kanda’s capabilities, making it a reliable choice among data engineering companies.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 1992 | 250-999 Employees | $50 - $99 / hr | $100,000 | Newton, Massachusetts | Costa Rica, Kyrgyzstan, USA | | Visit Website |
Infomatics: Reliable Data Engineering Services for Corporate and Government Clients
Infomatics is a Small, Woman, and Minority-Owned business with 15 years of experience serving corporate and government clients. Known for delivering reliable data engineering services and finding top talent, Infomatics helps clients achieve their business goals through seamless solutions. Certified in ISO 9001, 27001, and 20000 standards, Infomatics upholds high quality across all services.
The company specializes in data engineering, engineering data management, and data platform engineering. With a team that includes Azure data engineers, Microsoft data engineers, and experts in data engineering with Python, Infomatics is equipped to handle complex data needs. Dedicated data reliability engineers and data quality engineers ensure that solutions meet strict quality standards, making Infomatics a trusted name among data engineering companies.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2005 | 50-249 Employees | $25 - $49 / hr | $1,000+ | Dulles, Virginia | USA, India | | Visit Website |
HatchWorks: Reliable Data Engineering Services in Atlanta, Georgia
Founded in 2016 by Brandon Powell in Atlanta, Georgia, HatchWorks provides a reliable alternative to companies that over-promise and under-deliver. HatchWorks fills the gap between small software boutiques, offshore outsourcing, and high-cost digital transformation giants by offering local, high-touch service with the affordability and scalability of nearshore options.
HatchWorks focuses on data engineering services that put customer outcomes first. With expertise in engineering data management, data platform engineering, and data reliability engineering, the team includes skilled Azure data engineers, Microsoft data engineers, and experts in data engineering with Python. Dedicated data quality engineers ensure that each project meets the highest standards. HatchWorks is driven by innovation, exploring emerging technologies to deliver results beyond expectations.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2000 | 250-9,99 Employees | $50 - $99 / hr | $25,000+ | Atlanta, Georgia | USA, Colambia | | Visit Website |
Engineering Data Management and Platform Engineering with EffectiveSoft
EffectiveSoft helps companies bring their vision to life through innovation and technology. Offering nearshore and offshore custom software development, EffectiveSoft’s services include cloud migration, optimization, UX/UI solutions, and data and analytics. With a focus on accelerating digital transformation, the company provides data engineering services that add unique value for clients.
EffectiveSoft specializes in engineering data management, data platform engineering, and data reliability engineering. Their team includes skilled Azure data engineers, Microsoft data engineers, and professionals with expertise in data engineering with Python. Dedicated data quality engineers ensure high standards in every project, making EffectiveSoft a trusted partner among data engineering companies.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2000 | 201-500 Employees | $50 - $99 / hr | $25,000+ | San Diego, California | Europe, Middle East, USA | | Visit Website |
Experts in Data Platform Engineering and Data Reliability
Data Monsters provides comprehensive data engineering services across industries such as retail, education, finance, healthcare, media, and software. The team specializes in creating customizable, hyper-realistic 3D avatars to elevate customer interactions, cut costs, and free up employees for strategic tasks. Recognized among engineering companies for expertise in data reliability engineering and engineering data management, Data Monsters delivers reliable solutions. The team includes Azure data engineers and Microsoft data engineers with strengths in data platform engineering and data engineering using Python. Skilled data quality engineers work to ensure every project maintains the highest standards.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2009 | 50-249 Employees | $100 - $149 / hr | $25,000 | Palo Alto, CA | USA, Spain | | Visit Website |
Leading Data Engineering and Quality Solutions for Market Research
PureSpectrum, founded in 2015 and based in California, is a top market research technology company. PureSpectrum enables insights professionals to make fast, confident decisions with innovative solutions. Its main offering is a programmatic Marketplace and sample management platform that simplifies online surveys, supporting millions of high-quality interviews each year. Researchers rely on PureSpectrum’s tools and services to gather reliable data, enhanced by PureScore™, a scoring system that maintains high data quality.
Focused on data engineering and committed to engineering data management standards, PureSpectrum is known for its dedication to Simplicity, Transparency, Innovation, and Quality. Recognized as a trusted partner for businesses using market research to make informed choices, PureSpectrum has received awards like MR Supplier of the Year and is a GRIT Top 50 Most Innovative company. With a focus on data reliability engineering, PureSpectrum ensures quality data for impactful research, making it a valuable partner among data engineering companies.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2016 | 50-249 Employees | Westlake Village, California | USA | | Visit Website |
Six Feet Up: Leading Data Engineering and Platform Engineering Services
Six Feet Up helps tech leaders tackle complex challenges by building strong, long-lasting software solutions. As a consultancy with a focus on Python, AI, and impactful projects, Six Feet Up brings expertise in data engineering, application development, and big data to launch innovative ideas quickly.
Dedicated to positive impact, Six Feet Up aims to contribute to 100 impactful projects by 2033, especially those that support climate action, clean energy, and societal benefits. The team follows best practices in automation and has made strides in open-source tech by founding the Python Web Conference and IndyPy. Six Feet Up’s custom tools, like BEST™ and Scaf™, enhance development workflows and the software development life cycle (SDLC).
Known for excellence, Six Feet Up is a woman-owned company driven by the EOS Process™. With a 5-star Clutch.co rating, Six Feet Up is trusted by organizations like Capital One, NASA, and UNEP. Offering data engineering services, data platform engineering, and engineering data management, the team includes experts like Azure data engineers, Microsoft data engineers, and professionals in data engineering with Python. Their commitment to data reliability engineering and quality makes Six Feet Up a reliable choice among data engineering companies.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 1999 | 10-50 Employees | $200-$300 / hr | $50,000+ | Fishers, IN | USA | | Visit Website |
Leading Data Engineering and Data Management Solutions
Big Chalk combines art and science to help brands create powerful stories, achieve success, and solve complex marketing and sales challenges. With a flexible platform of services and a team of seasoned professionals, Big Chalk excels in quantifying and qualifying data to create actionable solutions that ensure market success.
Serving both leading global brands and start-ups, Big Chalk specializes in data engineering, engineering data management, and data platform engineering. By analyzing and monitoring data, the team identifies actionable opportunities and provides proactive, insight-driven solutions. Their expertise includesdata engineering services with professionals such as Azure data engineers, Microsoft data engineers, and experts skilled in data engineering with Python. Committed to data reliability engineering and supported by data quality engineers, Big Chalk delivers solutions to elevate brands like never before.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2017 | 11-50 Employees | Evanston, IL | USA, India | | Visit Website |
Expert Data Engineering Services for Complex Challenges
Sparkfish helps organizations solve complex data and software challenges with innovative solutions. Known among data engineering companies for its focus on data engineering services, Sparkfish uses small, closely integrated teams to boost communication and agility. The company specializes in engineering data management and data platform engineering, ensuring efficient and reliable outcomes. With expertise in data engineering and a team of Azure data engineers and Microsoft data engineers, Sparkfish supports projects with advanced data engineering using Python. Dedicated data quality engineers anddata reliability engineering practices ensure high standards for every solution.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2017 | 10-50 Employees | $150 - $149 / hr | $25,000 | Addison, TX | USA | | Visit Website |
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2010 | 11-50 Employees | Building 9, The District Mall, Sheraton al Mattar, Cairo, Egypt. | USA | | Visit Website |
DataMade: Skilled Azure and Microsoft Data Engineers for Civil Society
DataMade is a data and web consultancy that supports civil society organizations working toward democracy, justice, and equity. Recognizing that data can be hard to interpret, DataMade transforms complex information into clear, engaging, and actionable websites. The team collaborates with nonprofits, government agencies, journalists, researchers, and advocacy groups to turn data into meaningful narratives and exploration tools.
DataMade’s expertise spans data engineering services, engineering data management, data platform engineering, and data-driven consulting. They build and maintain data management tools and APIs, create online maps and visualizations, and perform data analysis and modeling. With a commitment to quality, DataMade also supports data quality engineering and data reliability engineering, with skilled professionals, including Azure data engineers, Microsoft data engineers, and experts in data engineering with Python.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2012 | 2-9 Employees | $149 - $200 / hr | $5,000 | Chicago, IL | USA | | Visit Website |
Serokell: Advancing Engineering Data Management and Reliability
Serokell, with a team of over 60 experts worldwide, specializes in a scientific approach to software development. Many team members have advanced degrees in mathematics, algebra, and game theory, allowing Serokell to leverage the latest innovations from academia and research labs to create fast, scalable, and secure solutions. Each project is guided by a C-level executive to ensure the team aligns with the client’s business goals.
Serokell’s core services include software development, custom solutions, web applications, and comprehensive data engineering services. The company’s expertise spans data science, dedicated developer teams, site reliability engineering, and business intelligence systems. Key strengths include engineering data management, data platform engineering, and advanced technologies like computer vision, natural language processing, and recommender systems.
In blockchain development, Serokell offers public blockchain solutions, enterprise DLT, smart contracts, and DeFi applications. Ensuring quality and reliability, the team also provides security audits, architecture audits, and performance optimization.
Serokell’s team includes Azure data engineers, Microsoft data engineers, and experts in data engineering with Python who bring extensive experience in data reliability engineering and data quality engineering to each project.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2015 | 50-249 Employees | $50 - $100 / hr | $10,000+ | Paris , France | France, USA, Israel | | Visit Website |
Data Platform Engineering and Automation for Operational Efficiency
Facet Interactive is a digital consultancy that helps businesses drive growth through data engineering services and digital transformation. By focusing on analytics, tooling, processes, and automation, Facet Interactive delivers data engineering solutions that improve sales, marketing, operations, and web development. Recognized among data engineering companies, Facet Interactive provides engineering data management and data platform engineering to ensure seamless operations. With a team that includes Azure data engineers, Microsoft data engineers,and data quality engineers, the company focuses on data reliability engineering to support long-term efficiency and reduce manual work through automation and analytics.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2014 | 10-49 Employees | $100 - $150 / hr | $25,000+ | El Segundo, California | USA | | Visit Website |
Cobit Solutions: Innovative Data Engineering Services for Business
Cobit Solutions was founded by Dmytro Chashnyk, who originally created an interactive analytics solution to gain real-time insights and manage large data sets effectively. After choosing Power BI for its robust features, the solution not only helped him make better business decisions but also increased company profitability, leading to Cobit Solutions becoming a stand-alone business. Cobit Solutions is one of the data engineering companies focused on data engineering services and engineering data management. The team includes skilled IT developers and project managers with financial expertise, enabling Cobit Solutions to understand business needs and provide effective solutions. With experience in data platform engineering, data reliability engineering, and a commitment to quality, the company supports clients with innovative insights. The team also includes data quality engineers, ensuring each project meets high standards.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2017 | 11-50 Employees | Denver, Colorado | USA | | Visit Website |
Supporting Business Growth with Data Quality and Reliability Engineering by Echoinnovate IT
Echoinnovate IT is a trusted custom app and web development company, operating since 2012 with offices in India and the USA. The team collaborates with enterprises, SMEs, and startups to turn ideas into digital solutions. With a focus on flexibility and innovation, Echoinnovate IT delivers future-ready solutions tailored to various industries like healthcare, travel, education, e-commerce, and finance.
Echoinnovate IT’s expertise includes data engineering services, engineering data management, and data platform engineering. The team is skilled in data reliability engineering, data quality engineering, and includes professionals like Azure data engineers, Microsoft data engineers, and experts in data engineering with Python. From mobile and web development to industry-specific solutions, Echoinnovate IT ensures each project is built to meet clients’ goals and drive business growth.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2012 | 50-249 Employees | Plymouth, Minnesota | USA, India | | Visit Website |
Protecting Data with Python and Big Data Engineering at Cyber Defense Group
Cyber Defense Group is a trusted cybersecurity partner for mid-market and enterprise organizations worldwide. Protecting sensitive data and helping clients recover from breaches, Cyber Defense Group provides security services that safeguard billions in revenue. Unlike other providers, Cyber Defense Group operates as a true partner, focusing on customized programs with clear goals and fixed costs to meet each client’s unique needs.
With expertise in data engineering and engineering data management, Cyber Defense Group supports clients’ security programs with the latest in data platform engineering and data reliability engineering. The team includes certified experts such as AWS certified data engineers, GCP data engineers, and Google data engineers, bringing experience in data science engineering and big data engineering. Specialists skilled in Python for data engineering, including Azure data engineers and Microsoft data engineers, work closely with businesses to develop strategies and technologies that protect data while supporting growth.
In a fast-changing world with evolving security threats, Cyber Defense Group stands out as an innovative and dedicated cybersecurity partner.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2006 | 11-50 Employees | Pasadena, California | USA | | Visit Website |
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 2015 | 10-49 Employees | $100 - $150 / hr | $10,000+ | North Kingstown, Rhode Island | USA | | Visit Website |
Traction: Advanced Data Engineering and Platform Engineering Solutions
At Traction, we help clients unlock the potential of Office 365, Microsoft Dynamics 365, Microsoft Business Central, Salesforce.com, Odoo ERP, and Power BI. By combining these tools, Traction provides manufacturers, distributors, and service organizations with advanced, pre-integrated solutions.
Traction’s expertise includes data engineering services, engineering data management, and data platform engineering. The team features skilled professionals such as Microsoft data engineers, Azure data engineers, and Python data engineers. With a focus on quality, Traction also supports data reliability engineering and data quality engineering, ensuring high standards in every project. Additionally, the team includes certified experts like AWS certified data engineers, GCP data engineers, and Google data engineers to provide clients with a comprehensive and reliable approach to data-driven solutions.
| Founded Year | Team Size | Hourly Rate | Min Project Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|---|---|
| 1999 | 10-50 Employees | $150 - $200 / hr | $10,000 | Wixom, MI | USA | | Visit Website |
One of the Best Data Engineering Companies for Reliable IT Solutions
One of the best data engineering companies, Vintage IT provides comprehensive outsourced IT support to help businesses optimize their IT infrastructure. With a fixed monthly cost, Vintage IT offers essential services such as emergency onsite and remote support, 24/7 live phone assistance through VintageCare Unlimited, dedicated account managers, and round-the-clock threat monitoring.
Vintage IT’s expertise extends to data engineering services, enabling businesses to rely on a secure, standardized IT environment without the high costs of in-house staff. Clients benefit from a competitive fixed rate, saving 25%–40% annually on IT expenses. The Vintage IT team includes over 10,000 skilled technicians with 50,000 certifications across 900 locations, ensuring consistent support, advanced tools, and customized maintenance plans.
With state-of-the-art tools, expert technical staff, and a secure, reliable IT framework, Vintage IT offers tailored solutions that keep businesses running smoothly and securely.
| Founded Year | Team Size | Head Office | Global Presence | Key Services | Website |
|---|---|---|---|---|---|
| 2001 | 11-50 Employees | Austin, Texas | USA | | Visit Website |
Final Say
This blog explores the leading data engineering service companies and their roles in helping businesses manage and analyze data effectively. Key services highlighted include comprehensive data engineering, engineering data management, data platform engineering, data quality and reliability, and AI and ML integration. Each of these services plays a crucial role in ensuring data is accurate, secure, and useful for decision-making.
The blog also discusses the importance of specific roles like Azure data engineers, Microsoft data engineers, and Python data engineers, emphasizing their contributions to building scalable data platforms, managing data pipelines, and supporting big data projects. By hiring specialized data engineering companies, businesses can access skilled professionals, advanced tools, and innovative solutions to drive data-driven growth.
Additionally, the FAQ section answers common questions about the significance of data quality, the role of AI and ML in data engineering, and the benefits of outsourcing data engineering services. The blog provides valuable insights into why data engineering is essential for businesses aiming to stay competitive in today’s data-centric landscape.
1. What are the most popular data engineering services?
The most popular data engineering services include Comprehensive Data Engineering, Engineering Data Management, Data Platform Engineering, Data Quality and Reliability, and AI and ML Integration. These services help organizations manage, process, and analyze data efficiently.
2. Why is data quality engineering important for businesses?
Data quality engineering ensures that data is accurate, consistent, and secure, which is essential for making informed business decisions. High-quality data improves reliability and helps businesses avoid costly mistakes caused by inaccurate information.
3. What role do Azure and Microsoft data engineers play in data engineering?
Azure data engineers and Microsoft data engineers specialize in building and maintaining data pipelines and storage solutions on Microsoft platforms. They ensure that data flows seamlessly and securely across the organization, enabling efficient data processing and analytics.
4. How does Python contribute to data engineering?
Python for data engineering is highly valuable due to its versatility, efficiency, and wide range of libraries for data manipulation, processing, and analysis. Python is commonly used for creating data pipelines, performing ETL (Extract, Transform, Load) operations, and developing custom data solutions.
5. What is the significance of platform engineering in data engineering?
Data platform engineering is critical as it provides a scalable, high-performing foundation for managing large volumes of data. It enables organizations to store, process, and analyze data on a platform that can grow with their needs, often integrating cloud services like AWS, GCP, and Azure.
6. What are the benefits of hiring a data engineering company?
Hiring a data engineering company gives businesses access to a team of specialized experts, such as data reliability engineers, data quality engineers, and big data engineers.This approach ensures that data management, security, and analysis are handled professionally, allowing businesses to make data-driven decisions confidently.
7. How does AI and ML integration enhance data engineering?
AI and ML integration in data engineering provides advanced analytics and predictive capabilities, helping organizations gain deeper insights and make proactive decisions. By leveraging AI and ML, companies can automate data processing, detect patterns, and drive innovation.
