1

Seasonal Data Engineer Python Jobs in Boston, MA

Data Engineer

Boston, MA ยท On-site +1

$60 - $62/hr

Title: Data Engineer Duration: asap -4 Months Position: Remote (The person can be remote, though ... Proficient in Python and SQL;experience with CI/CD and IaC (Terraform or Bicep). * Excellent ...

Data Engineer

Boston, MA ยท 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 ยท On-site

$125K - $150K/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 ยท On-site

$124K - $149K/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 ยท On-site

$124K - $149K/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

Wellesley, MA

$125K - $150K/yr

As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data ... Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to ...

At the moment our team is working on developing a data pipeline that ingests millions of web ... There is some serious engineering behind making all of that work and we want to find people that ...

Senior Data Engineer

Boston, MA ยท On-site +1

$115K - $156K/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

$124K - $149K/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

$124K - $149K/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 ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

Data Engineer

Wakefield, MA ยท On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

Databricks Data Engineer

Boston, MA

$124K - $149K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Data Engineer

Wakefield, MA ยท On-site

$120K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/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 ...

next page

Showing results 1-20

Seasonal Data Engineer Python information

See Boston, MA salary details

$50K

$179.3K

$264.5K

How much do seasonal data engineer python jobs pay per year?

As of Jun 10, 2026, the average yearly pay for seasonal data engineer python in Boston, MA is $179,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,000.00 and $184,700.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

What are the most commonly searched types of Data Engineer Python jobs in Boston, MA? The most popular types of Data Engineer Python jobs in Boston, MA are:
What cities near Boston, MA are hiring for Seasonal Data Engineer Python jobs? Cities near Boston, MA with the most Seasonal Data Engineer Python job openings:

Lead Software Engineer (Python)

Prophecy Technologies

Boston, MA โ€ข On-site

Full-time

Posted 4 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.