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Part Time Data Engineering Jobs in Boston, MA (NOW HIRING)

... part-time Data Analyst to join the Crookes Lab. This role supports a research project focused on ... The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics ...

... part-time Data Analyst to join the Crookes Lab. This role supports a research project focused on ... The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics ...

The role spans enterprise architecture, DevSecOps, cybersecurity, data engineering, and integration ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The role spans enterprise architecture, DevSecOps, cybersecurity, data engineering, and integration ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The role spans enterprise architecture, DevSecOps, cybersecurity, data engineering, and integration ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

ITS/Traffic Intern

Boston, MA · On-site

$23.74 - $35.61/hr

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy ... Utilize big data sources to identify safety and operational needs * Provide program support ...

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Part Time Data Engineering information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Jun 24, 2026, the average yearly pay for part time data engineering in Boston, MA is $140,924.00, 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.

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's needs.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

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. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
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:
Infographic showing various Part Time Data Engineering job openings in Boston, MA as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

$38/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

About the Opportunity
The Department of Public Health and Health Sciences is seeking a temporary, part-time Data Analyst to join the Crookes Lab. This role supports a research project focused on understanding healthcare utilization patterns among patients at community health centers across the U.S., with a focus on immigrants. The project investigates how state- and county-level social determinants of health affect cardiovascular preventive care use.
The role involves conducting statistical analysis using electronic health records (EHR) and datasets on social determinants of health, as well as contributing to the preparation of peer-reviewed publications and conference presentations. This is a part-time, remote position requiring 20 hours per week. The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics or epidemiology, and demonstrate interest in health equity and social determinants of health. Candidates should be self-motivated, committed to meeting deadlines, and open to collaborative communication throughout the research process.
Responsibilities
Data Management & Analysis:
  • Merge EHR data with external datasets related to social determinants of health
  • Conduct descriptive statistics, longitudinal analyses, and multilevel regression modeling in R
  • Create tables and visualizations to summarize analytic findings

Documentation & Collaboration:
  • Document methods and results for manuscript preparation
  • Prepare analytic outputs (tables, figures) for inclusion in manuscripts and conference abstracts
  • Communicate collaboratively with the research team to ensure analytic needs and timelines are met

Qualifications
Required:
  • Master's degree in Biostatistics, Epidemiology, Public Health, or a related discipline
  • Demonstrated proficiency in R for data cleaning, merging, and statistical modeling
  • Experience conducting longitudinal and/or multilevel regression analysis
  • Strong written communication skills
  • Interest in health equity, healthcare access, or social determinants of health

Preferred:
  • Experience working with electronic health record (EHR) data

Additional Information
This position is ideal for candidates who have data analysis experience and are seeking opportunities to apply it to population health, health equity, and healthcare access research. The Data Analyst will be an integral part of a collaborative academic team and contribute to impactful research on a nationally significant public health issue.
Position Type
Temporary
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
This job is for a current or anticipated job vacancy.
Pay Rate:
$38/hour