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Data Engineering Jobs in Boston, MA (NOW HIRING)

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... data engineering team where the impact will be immediate and tangible. This will be a hybrid-focused position. As a fast-growing, 400+ person company, they require someone who is motivated, a self ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers research, investment, and operational workflows across the firm. Beyond traditional data pipelines ...

Data Engineer

Boston, MA

$124K - $149K/yr

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive to build things that matter? We're looking for a Data Engineer to join our high-visibility Enterprise ...

Data Engineer

Woburn, MA · On-site

$100 - $130/hr

... IT organization's Data Engineering team. The team focuses on building, supporting, and maintaining data pipelines and datasets that enable analytics, reporting, and data products across the ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive to build things that matter? We're looking for a Data Engineer to join our high-visibility Enterprise ...

You will work closely with cybersecurity, infrastructure, cloud, application, and data engineering teams to ensure security telemetry is accurate, searchable, complete, and fit for purpose. Why This ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of health ...

Data engineer

Boston, MA · On-site

$124K - $149K/yr

Summary of ideal candidate: 8+ years in data engineering, with deep expertise in Python, PySpark, SQL, and Databricks, extensive AWS experience (S3, EC2, Lambda), and a strong background in ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of health ...

Data engineer

Boston, MA · On-site

$124K - $149K/yr

Summary of ideal candidate: 8+ years in data engineering, with deep expertise in Python, PySpark, SQL, and Databricks, extensive AWS experience (S3, EC2, Lambda), and a strong background in ...

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of health ...

Showing results 21-40

Data Engineering information

See Boston, MA salary details

$49.8K

$178.7K

$263.7K

How much do data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineering in Boston, MA is $178,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,600.00 and $184,100.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Boston, MA?

The most popular types of Data Engineering jobs in Boston, MA are:

What job categories do people searching Data Engineering jobs in Boston, MA look for?

The top searched job categories for Data Engineering jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Engineering jobs?

Cities near Boston, MA with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $178,722 per year, or $85.9 per hour.

$124K - $149K/yr

Other

Posted 4 days ago


Job description

Our client, a mid-size global investment firm with $75 Billion AUM, is seeking a talented full-time Data Engineer to join their Boston data engineering team where the impact will be immediate and tangible. This will be a hybrid-focused position.

As a fast-growing, 400+ person company, they require someone who is motivated, a self-starter, adaptable and comfortable working on a small team in an extremely fast-paced, ever-changing entrepreneurial environment.

Key Responsibilities:

• Design and build scalable data pipelines integrating internal applications (e.g., OMS/PMS systems) and external data vendors such as Bloomberg and MSCI
• Analyze and manage complex data structures across both source and target systems
• Collaborate closely with Data Management, AI, and Software Engineering teams to deliver high-value, business-aligned solutions
• Work within an agile team of five data engineers led by the Principal Data Engineer, participating in all Scrum ceremonies
• Develop and maintain data sources using MySQL databases and Python applications
• Create and optimize data pipelines using Azure Data Factory (ADF)
• Transform and manage data within Snowflake environments
• Build AI agents and semantic views leveraging Snowflake Cortex AI
• Apply data engineering best practices to develop scalable, maintainable, and testable code
• Solve complex data engineering challenges across multiple technologies and systems
• Contribute to a greenfield Snowflake Cortex initiative built on top of an existing enterprise data lake with complex datasets and interconnected systems
• Support the delivery of innovative data solutions in a fast-paced, collaborative engineering environment

Qualifications / Attributes:
The ideal candidate will be a talented data engineer with a degree in Computer Science or similar technical subject, or equivalent experience. The candidate will be working independently and to be effective the candidate needs to be a self-starter, curious, practical, committed to high quality well-tested code, apply clear judgment and critical thinking, as well as collaborating closely with others in the firm.

In Order To Be Successful:
• Must have worked in building data warehouses with complex data structures
• Proficient in data modelling and star schema
• Approximately 5+ years of commercial experience as a data engineer
• Approximately 3+ years of working in Snowflake (including Snowflake Cortex AI and semantic views)
• Approximately 3+ years of working in python (Python 3+)
• Strong database querying skills preferably in MySQL
• Proficient in working with APIs
• Experience working in Agile setup
• Genuine passion for solving complex problems through programming
Preferred:
• Understanding common design patterns & data modelling for python application development
• Understanding of a visualization tool preferably Power BI
• Approximately 3+ years of working in ADF (Azure data factory)
• Exposure to AI tools e.g. Codex, Claude, agentic framework
• Experience working effectively with global, cross-functional teams