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Part Time Data Engineer Jobs in Massachusetts (NOW HIRING)

TripleTen

$152K/yr

An experienced developer or engineer - SWE, data engineer, data analyst, DevOps/SRE, or quant - who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their ...

FocusKPI Inc.

Data Scientist (MMM)

Boston, MA · On-site

$90K/yr

Remote - anywhere in the US Duration: Full-time/Part-time position Pay Range: $90k+/annum ... Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related ...

SPS North America

Director, BI

Boston, MA

$80/hr

Data Engineering * Data Pipelines * Minimum 5 years of experience delivering BI solutions ... Paid Time Off: Full time: Minimum of 80 hours/calendar year. Part time/temporary: Minimum of 1 hour ...

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Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA · On-site

$81K - $122K/yr

Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ... If you would like more information about how your data is processed, please contact us.

Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA · On-site

$81K - $122K/yr

Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ... If you would like more information about how your data is processed, please contact us.

TripleTen

$60 - $100/hr

... data-sensitive financial environments. As we continue expanding our AI for QA portfolio, we're ... Lead interactive online workshops, guiding experienced QA engineers through collaborative ...

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All JobsData Engineer JobsPart Time Data Engineer JobsPart Time Data Engineer Jobs in Massachusetts

Part Time Data Engineer information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do part time data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for part time data engineer in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or cloud-based tools. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or access to on-site resources.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

What are the most commonly searched types of Data Engineer jobs in Massachusetts? The most popular types of Data Engineer jobs in Massachusetts are:
What are popular job titles related to Part Time Data Engineer jobs in Massachusetts? For Part Time Data Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Part Time Data Engineer jobs in Massachusetts look for? The top searched job categories for Part Time Data Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Part Time Data Engineer jobs? Cities in Massachusetts with the most Part Time Data Engineer job openings:
Part Time Data Engineer jobs near you
Infographic showing various Part Time Data Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $141,666 per year, or $68.1 per hour.

AI & Machine Learning Teaching Expert (Part-time)

TripleTen

On-site, Remote

$152K/yr

Part-time

Posted 6 days ago

Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're looking for the person who brings an AI and Machine Learning curriculum to life for students: hosts the live sessions, reviews the work, runs the model and system review boards, and sets the technical bar for the people supporting alongside them. The curriculum is built by a team of senior authors.
This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week. You'll run live sessions and office hours, give real engineering feedback on student ML deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually built and shipped AI systems in production, has opinions about what a sound ML system looks like, and can tell an experienced engineer why their approach is wrong.
Your audience: An experienced developer or engineer - SWE, data engineer, data analyst, DevOps/SRE, or quant - who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their existing experience across, not start over.
Format: Live sessions, office hours, 1:1s, and workshops timed around US Eastern Time - mostly 2:00 PM to 9:00 PM ET. Estimated 10 to 15 hrs/week.
Please submit all resumes or CVs in English.
What you will do
  • Host live sessions focused on the design of ML systems: agentic architectures, orchestration, evaluation, and reliability of LLM-based systems.
  • Run group office hours, 1:1 sessions and tech mock interviews for students working through projects.
  • Review student projects against rubrics.
  • Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point.

Requirements
  • 7+ years of professional ML engineering experience, currently working at senior level or above (Senior/Lead/Staff ML Engineer, AI Engineer, or ML/AI Systems Architect).
  • Has built and shipped AI or ML systems that ran in production in a real company, not just notebooks or side projects.
  • Depth across the AI engineering spine: agentic systems (L3, LangChain/CrewAI/ADK frameworks, orchestration, self-correction), agent reliability and guardrails, MCP; LLM evals (eval harness, LLM-as-judge, hallucination metrics), applied fine-tuning (SFT/LoRA); AI coding tools in the SDLC, LLM observability, A/B experiment design.
  • Can explain why a modeling or architecture decision was made, not just how it was implemented, and can diagnose and critique someone else's work live.
  • Strong technical communication: comfortable leading a live session and writing clear, specific review feedback.
  • Strong English C1+ - instruction and review are in English for a US-based audience.
  • Comfortable using AI tools in day-to-day technical work.

Preferred experience:
  • Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction.
  • Production experience with agentic frameworks (LangChain, CrewAI, ADK) and MCP-based tool integrations.
  • Hands-on ownership of an eval or observability stack in production, not just usage.
  • Work experience at a recognizable company.
  • Familiarity with online education platforms or running programs.

What we can offer you
  • Fully remote work, with live sessions scheduled within US afternoon and evening hours.
  • A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth.
  • Professional trust and autonomy: no micromanaging.
  • A diverse, international, close-knit team excited to work with you!

Apply