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Data Engineer Jobs in Boston, MA (NOW HIRING)

Data Engineer

Boston, MA ยท On-site

$165K - $175K/yr

Data Engineer Boston, Massachusetts, United States Job Openings Data Engineer Job Title: Data Engineer - AI Platform Location: Boston, Chicago, New York City, San Francisco, Silicon Valley ...

Data Engineer

Woburn, MA ยท On-site

$125K - $150K/yr

Data Engineer Location: Woburn, MA (Onsite) Duration: Long-Term Contract Job Summary: We are seeking an experienced Data Engineer with strong expertise in the Microsoft Azure ecosystem to design ...

Data Engineer

Quincy, MA ยท On-site

$120K - $144K/yr

Job tittle - Data Engineer Duration: Full-time Location - Quincy, MA (Onsite) Data Engineer for databricks/ Hadoop/ scala Hadoop, Databricks, Scala Senior/Lead developer position who has extensive ...

Data Engineer

Quincy, MA ยท On-site

$35 - $45/hr

Data Engineer Location : North Quincy, MA Duration : 6 months + possible extension Rate Range: $35 - $45/hour on W2/ C2C (All inclusive) Introduction This role involves working with cutting-edge data ...

Data Engineer

Norwell, MA ยท On-site

$120K - $145K/yr

Data Engineer Location: Norwell, MA Duration: Full Time We are seeking a skilled Data Engineer to design, build, and maintain high-quality, scalable data pipelines with a strong focus on Silver and ...

Data Engineer

Waltham, MA ยท On-site

$58/hr

Senior Data Engineer Location: Waltham, MA / Remote (EST) Duration: 6+ Months Client: National Grid - Boston Visa Restrictions: None Sub Vending: No Pay Rate: $58/Hr on W2 without benefits Bill Rate ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

About the job Data Engineer $115,000 - $145,000 About the company: Atlantic Talent is proud to be partnered with a leading online retailer that serves millions of monthly users. Located in Boston, MA ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Lead Data Engineer We are searching for a Lead Data Engineer to implement data engineering and analytics solutions. Primary responsibilities include full implementation and maintenance of data ...

Data Engineer

Boston, MA

$124K - $149K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Data Engineer Location: Boston, MA (Onsite role from Day 1) Duration: C2C In-person Interview 10+ years of overall IT experience 5+ years of hands-on experience in cloud-based development (Databricks ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Wakefield, MA ยท On-site

$120K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Wakefield, MA ยท On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

K&L Gates is a fully integrated global law firm seeking an experienced Data Engineer with a strong focus on Microsoft Fabric. The role involves designing, implementing, and maintaining enterprise ...

New

Data Engineer

Framingham, MA ยท On-site

$118K - $142K/yr

Data Engineer The Data Engineer is accountable for designing, creating, and maintaining data pipelines and data models for the Projects for the Risk Assurance Data and System. You are expected to ...

Data Engineer

Wakefield, MA ยท On-site

$120K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Burlington, MA ยท Remote

$145K - $180K/yr

We're looking for a hands-on Data Engineer to design, build, and optimize the data infrastructure that powers our internal engineering workflows. You'll build scalable pipelines that ingest and ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Data Engineer Location: Boston, MA Open to Remote in EST or CST Locations About Us Clasp is a venture-backed, mission-driven startup transforming access to education and career pathways. We are ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Data Engineer Location: Boston, MA Open to Remote in EST or CST Locations About Us Clasp is a venture-backed, mission-driven startup transforming access to education and career pathways. We are ...

Data Engineer

North Reading, MA ยท On-site

$117K - $140K/yr

They are seeking a hands-on Data Engineer to modernize their data infrastructure and support the transition to an AI-ready data platform, partnering closely with data analysts and full-stack ...

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Showing results 1-20

Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do data engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data engineer in Boston, MA is $140,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Boston, MA? The most popular types of Data Engineer jobs in Boston, MA are:
What job categories do people searching Data Engineer jobs in Boston, MA look for? The top searched job categories for Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Engineer jobs? Cities near Boston, MA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 2% Internship, 81% Full Time, 2% Part Time, 2% Temporary, and 13% Contract. Highlights an 77% In-person, 9% Hybrid, and 14% Remote job distribution, with an average salary of $140,906 per year, or $67.7 per hour.

Data Engineer

RedBeard Solutions

Boston, MA โ€ข On-site

$165K - $175K/yr

Other

Posted 4 days ago


Job description

Data Engineer

Boston, Massachusetts, United States Job Openings Data Engineer

Job Title: Data Engineer - AI Platform

Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC

Number of openings: 1

Experience: 5+ years of professional experience as a data engineer

Salary: $165,000 - $175,000

Clearance: Secret (prefer TS)

Position Summary

We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge initiatives involving generative AI, large-scale data systems, and cloud-native architectures.

You will partner with a multidisciplinary team of engineers, data scientists, and product stakeholders to design and implement scalable data infrastructure. The primary focus will be enabling platform capabilities tailored for government and defense-related environments.

Key Responsibilities
  • Design and build robust data ingestion and processing pipelines to support AI and GenAI applications
  • Develop and maintain high-quality Python-based data workflows, including testing and validation
  • Collaborate with cross-functional teams including software engineers, data scientists, and UI/UX designers
  • Implement and enhance CI/CD pipelines (including GitHub Actions) to streamline deployment and integration processes
  • Work across multi-cloud environments (AWS primarily; exposure to Azure and GCP is beneficial)
  • Utilize containerization technologies (Docker) to support scalable and portable deployments
  • Contribute to the development and optimization of data systems used by generative AI applications
  • Ensure performance, reliability, and scalability of data pipelines through monitoring and diagnostics
What You'll Experience
  • Opportunity to work on high-impact AI platform initiatives
  • A fast-paced, performance-driven environment with strong technical mentorship
  • Continuous learning through structured development programs and real-world problem solving
  • A collaborative culture that values innovation, ownership, and diverse perspectives
  • Exposure to globally distributed teams and modern engineering practices
  • Competitive compensation along with a comprehensive benefits package
Required Qualifications
  • U.S. Citizenship is required
  • Prior experience supporting defense or government environments, including handling classified or sensitive data
  • Active Secret clearance required (Top Secret or higher preferred)
  • 5+ years of experience in data engineering, with a strong focus on cloud-based solutions
Technical Skills & Expertise
  • Strong proficiency in Python for data engineering and pipeline development
  • Hands-on experience with AWS-based data engineering (experience with Azure or GCP is a plus)
  • Deep understanding of data modeling, data ingestion frameworks, and pipeline architecture
  • Experience working with knowledge graphs, particularly using Neo4j, and familiarity with relational databases
  • Expertise in writing clean, maintainable, and testable code, including automation and error handling best practices
  • Practical experience with Docker and containerized workflows
  • Strong background in data pipeline performance tuning, monitoring, and troubleshooting
  • Excellent analytical and problem-solving capabilities
  • Effective communication skills and ability to collaborate within cross-functional teams