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Data Engineer Python Jobs in Massachusetts (NOW HIRING)

Data Engineer

Boston, MA

$165K - $175K/yr

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 ...

Data Engineer

Boston, MA · Hybrid

$150K - $250K/yr

You'll work with SQL, Python, DBT, and modern data pipeline tools to power a single source of truth ... This Data Engineer role is a great fit for someone who loves pipeline orchestration and wants to ...

Azure Data Engineer

Wilmington, MA · On-site

$125.20K - $150.30K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be ... The ideal candidate will bring strong expertise in SQL, Python, and Azure cloud services, with a ...

Azure Data Engineer

Wilmington, MA · Hybrid

$125.20K - $150.30K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be ... The ideal candidate will bring strong expertise in SQL, Python, and Azure cloud services, with a ...

Data Engineer

Boston, MA · On-site

$124.40K - $149.40K/yr

The ideal candidate has both strong programming experience in python and is passionate about both high performance data pipelines as well as the analytics that they fuel. At Clasp we run a DevOps ...

Data Engineer

Boston, MA

$124.40K - $149.40K/yr

... strong Python and SQL development skills as well as Big Data processing technologies ... Implement data engineering best-practices to build extraction, loading, and transformation logic to ...

Data Engineer

Peabody, MA · On-site

$127.10K - $152.60K/yr

The Data Engineer will embed with Barton's Data Engineering team to work on a variety of data ... Build data pipelines and data ingestions using SQL and Python * Work with industry standard ETL and ...

Data Engineer II

Boston, MA · On-site

$124.40K - $149.40K/yr

Design, build, and operate scalable ELT pipelines using Python and PySpark, with a focus on ... Professional experience using Python for data engineering, including writing clean, testable, and ...

Data Engineer II

Boston, MA · On-site

$124.40K - $149.40K/yr

Design, build, and operate scalable ELT pipelines using Python and PySpark, with a focus on ... Professional experience using Python for data engineering, including writing clean, testable, and ...

Data Engineer II

Boston, MA

$124.40K - $149.40K/yr

Design, build, and operate scalable ELT pipelines using Python and PySpark, with a focus on ... Professional experience using Python for data engineering, including writing clean, testable, and ...

Data Engineer II

Boston, MA · On-site

$124.40K - $149.40K/yr

Responsibilities : • Design, build, and operate scalable ELT pipelines using Python and PySpark ... data quality, and engineering best practices • Leverage AI tools to accelerate development ...

Data Engineer II

Boston, MA · On-site

$124.40K - $149.40K/yr

Responsibilities : • Design, build, and operate scalable ELT pipelines using Python and PySpark ... data quality, and engineering best practices • Leverage AI tools to accelerate development ...

Senior Data Engineer

Boston, MA · On-site +1

$115.20K - $156.40K/yr

Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE ... Idealcandidate will be strong in SQL, python, tableau, Qlik or another cloud DV tooland mid (Boston ...

Data Engineer

Boston, MA

$124.40K - $149.40K/yr

Exposure to at least one scripting language (Python preferred) for data manipulation, automation ... Understanding of core data engineering concepts: ETL/ELT pipelines, data warehousing, and batch ...

Data Engineer

Boston, MA

$124.40K - $149.40K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Data Engineer

Boston, MA · On-site

$124.40K - $149.40K/yr

Exposure to at least one scripting language (Python preferred) for data manipulation, automation ... Understanding of core data engineering concepts: ETL/ELT pipelines, data warehousing, and batch ...

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Data Engineer Python information

See Massachusetts salary details

$25.1K

$152.9K

$221.2K

How much do data engineer python jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer python in Massachusetts is $152,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,700.00 and $179,700.00 per year, depending on experience, location, and employer.

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.
What are the most commonly searched types of Data Engineer Python jobs in Massachusetts? The most popular types of Data Engineer Python jobs in Massachusetts are:
What are popular job titles related to Data Engineer Python jobs in Massachusetts? For Data Engineer Python jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Engineer Python jobs in Massachusetts look for? The top searched job categories for Data Engineer Python jobs in Massachusetts are:
Infographic showing various Data Engineer Python job openings in Massachusetts as of May 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 85% In-person, 12% Hybrid, and 3% Remote job distribution, with an average salary of $152,866 per year, or $73.5 per hour.

Lead Software Engineer (Python)

Prophecy Technologies

Boston, MA • On-site

Full-time

Posted 23 days ago


Job description

Role Summary
As a Lead Software Engineer (Python) at Trivelta, you will play a pivotal role in designing, developing, and scaling the platform's core backend infrastructure. This is a hands-on technical leadership position responsible for driving innovation, ensuring system performance, and maintaining high standards of security, compliance, and reliability.
You will collaborate closely with product, security, compliance, finance, and data analytics teams to build robust, scalable solutions in a highly regulated environment.
Key Responsibilities
Backend Architecture & Development
  • Architect and develop scalable, high-performance backend systems using Python.
  • Design and maintain robust APIs supporting mobile, web, and third-party integrations.
  • Drive best practices in backend design, code quality, and system reliability.

Performance, Security & Compliance
  • Optimize system performance, scalability, and availability.
  • Implement security best practices and ensure compliance with:
  • AML, KYC
  • Data privacy regulations
  • State-by-state sweepstakes regulations
  • Partner with compliance and security teams to meet regulatory standards.

Data & Analytics Infrastructure
  • Design and maintain data pipelines supporting:
  • Analytics and reporting
  • Fraud detection
  • Geolocation-based access controls
  • Regulatory and audit reporting

Technical Leadership
  • Lead and mentor engineers, promoting best practices and continuous learning.
  • Drive architectural decisions and long-term technical strategy.
  • Evaluate emerging technologies in fintech, gaming, and AI-based fraud detection.

Cross-Functional Collaboration
  • Work closely with product, finance, compliance, and support teams to translate business needs into technical solutions.
  • Ensure seamless system integration and operational efficiency.

Operational Excellence
  • Lead incident response for production outages or security events.
  • Implement proactive monitoring and alerting.
  • Perform root cause analysis and drive long-term corrective actions.

Required Skills & Qualifications
  • Proven experience designing and scaling high-performance backend systems.
  • Strong hands-on expertise in Python for backend development, automation, and data processing.
  • Experience building and maintaining RESTful APIs.
  • Strong knowledge of CI/CD pipelines and infrastructure automation.
  • Demonstrated ability to lead, mentor, and influence technical direction.
  • Experience working cross-functionally with product, finance, and compliance teams.
  • Solid understanding of:
  • System performance tuning
  • Security best practices
  • Regulatory compliance (AML, KYC, data privacy)

Preferred Qualifications
  • Experience with data pipelines, analytics platforms, and fraud detection systems.
  • Exposure to geolocation-based access controls.
  • Background in fintech, gaming, or regulated platforms.