ZipRecruiter

Log In

2

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

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 ...

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 ...

vicinityenergy

Engineering Intern

Cambridge, MA

$18 - $20/hr

... data distribution system. This is a part-time position. This position is located in Cambridge, MA. The compensation range for this position is $18.00-$20.00 per hour. Responsibilities * Walk down ...

vicinityenergy

Engineering Intern

Cambridge, MA

$18 - $20/hr

... data distribution system. This is a part-time position. This position is located in Cambridge, MA. The compensation range for this position is $18.00-$20.00 per hour. Responsibilities * Walk down ...

Vicinity Energy, Inc.

Engineering Intern

Cambridge, MA · On-site

$18 - $20/hr

... data distribution system. This is a part-time position. This position is located in Cambridge, MA. The compensation range for this position is $18.00-$20.00 per hour. Responsibilities * Walk down ...

next page

Showing results 1-20

All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Boston, MA

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 Aug 10, 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.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data 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 engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project 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.

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 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:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Director, BI

SPS North America

Boston, MA

$80/hr

Full-time, Part-time

Posted 6 days ago

Job description

Location: Hybrid (Preferred)
Job Type: Full-Time

About the Role

We are seeking an experienced Senior Manager, Business Intelligence & Analytics to lead the strategy, design, and delivery of enterprise Business Intelligence (BI) solutions. This leadership role is ideal for a seasoned professional with 15+ years of experience in business intelligence, data analytics, and data engineering who can drive BI initiatives, lead high-performing technical teams, and partner with Finance, HR, and business leaders to deliver actionable insights.

The successful candidate will define and execute the organization's BI roadmap while overseeing the development of scalable analytics solutions using Microsoft Power BI, Azure, Microsoft Fabric, and modern data platforms.

Key Responsibilities
  • Lead the strategy, planning, and execution of enterprise Business Intelligence initiatives.
  • Partner with Finance, HR, and business stakeholders to identify reporting and analytics needs and translate them into scalable BI solutions.
  • Define and manage the Business Intelligence roadmap aligned with organizational goals.
  • Lead, mentor, and develop a team of Business Intelligence professionals, data engineers, and analysts.
  • Design and deliver end-to-end analytics solutions utilizing Power BI, Microsoft Fabric, Azure, Data Lakes, Data Warehousing, and Data Pipelines.
  • Ensure successful project delivery through proper prioritization, estimation, planning, execution, and stakeholder communication.
  • Build executive dashboards, KPIs, and reporting solutions that enable data-driven business decisions.
  • Collaborate with global cross-functional teams across multiple time zones.
  • Ensure compliance with IT governance, security, architecture, and development standards.
  • Evaluate emerging BI technologies and recommend innovative solutions that improve business value.
  • Present project status, risks, and strategic updates to executive leadership and key business stakeholders.
Required Qualifications
  • Bachelor's degree in Information Technology, Computer Science, Data Analytics, or a related field.
  • 15+ years of experience in Business Intelligence, Analytics, Data Engineering, or related disciplines.
  • 5+ years of leadership experience managing technical teams and enterprise BI projects.
  • Expert knowledge of:
    • Microsoft Power BI
    • Microsoft Fabric
    • Azure Data Platform
    • Azure Data Lake
    • Azure Blob Storage
    • Data Warehousing
    • Data Lakes
    • Data Engineering
    • Data Pipelines
  • Minimum 5 years of experience delivering BI solutions supporting Finance and Human Resources functions.
  • Strong experience designing enterprise reporting platforms and analytics solutions.
  • Exceptional stakeholder management, communication, and presentation skills.
  • Proven ability to manage multiple projects in a fast-paced, global environment.
Preferred Qualifications
  • Experience supporting SAP ERP environments, including SAP S/4HANA.
  • Functional knowledge of SAP FICO, SD, MM, and PS modules.
  • Experience within Professional Services, Media, Creative, or Production industries.
  • Experience implementing enterprise-scale analytics platforms and cloud-based reporting solutions.
  • Knowledge of structured and semi-structured data formats, including JSON and Parquet.
What We're Looking For
  • Strategic thinker with strong business acumen.
  • Proven leader who develops and mentors high-performing teams.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong communicator capable of influencing executive stakeholders.
  • Collaborative leader who thrives in cross-functional and multicultural environments.
  • Passion for leveraging data to drive innovation and business performance.
Why Join Us?

This is an opportunity to lead enterprise-wide Business Intelligence initiatives that directly influence strategic decision-making across the organization. You'll work alongside executive leadership, leverage cutting-edge Microsoft technologies, and help shape the future of analytics in a collaborative and innovative environment.

Compensation:
The expected compensation is an estimate, and the final offer will depend on skills, experience, location, and other job-related factors.

Vacancy Status:
This posting is for an existing vacancy.

Pay Range
$80—$80 USD

WHAT WE OFFER

  • Career Growth: An opportunity to enter a job that allows you to learn new skills or use a variety of them that may lead you to uncover other career opportunities.
  • Learning & Development: At SPS, we promote a work culture of learning so that you can develop to be the best at what you do.
  • We Recognize Talent: We offer a variety of recognition programs for all levels of employees.
  • Paid Time Off: Full time: Minimum of 80 hours/calendar year. Part time/temporary: Minimum of 1 hour for every 30 hours worked. PTO amounts may increase based on tenure and/or the assigned account. PTO allows employees to take approved time off for any reason.
  • Bonuses: Are available for employee and client referrals for current employees.
  • Benefit Offerings: Medical, Dental, Vision, HCFSA, DCFSA, HSA, Commuter Transit and Parking Pre-Tax Plans, Supplemental Life Insurance, Accident Insurance, Critical Illness, Hospital Indemnity, Legal Program, Identify Theft Protection, Pet Discounts, Pet Insurance, Group Home and Auto Insurance, EAP, Short Term Disability, Life Insurance, Education Discounts, 401k w/ matching, and Entertainment Discounts.
    • Note: Please inquire with the Human Resources team for benefit offerings per role as regular positions that routinely are under 30 hours/week may have a different benefit offering.

About SPS

SPS is a global workplace solutions and business transformation company operating in more than 20 countries. Across North America, we help clients enhance workplace experiences and business operations through services including workplace support, physical and digital mailroom solutions, intelligent document processing, reception and concierge services, and other business support offerings.

Our clients include leading organizations across banking, insurance, legal, higher education, professional services, and many Fortune 500 companies.

At SPS we embrace the uniqueness of our employees and are committed to the fair and equal treatment of all people, applicants, and employees by promoting a culture of access, inclusion, equity and diversity.

SPS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual and reproductive health choices, national origin, age, disability, genetics, military status, gender identity or expression, sexual orientation and/or any other status protected by applicable law.

Colorado only: We accept applications for an expected minimum of 5 days from the date it is posted. The posting may remain open longer as needed to ensure a robust and inclusive applicant pool.

To ensure a fair and authentic interview process, applicants may not use AI tools or any other form of real-time assistance during interviews. SPS team members may use transcription or note-taking technology solely to support accurate interview documentation. No AI or automated decision-making tools are used to screen, assess, or select candidates for this role. SPS uses the Greenhouse Applicant Tracking System to facilitate application management and recruiting workflows. Human recruiters and hiring managers review applications and exercise independent judgment throughout the hiring process

SPS offers reasonable accommodations in the hiring and employment process for individuals with disabilities. If you need assistance in the application or hiring process to accommodate a disability, you may request an accommodation at any time.

To view our privacy policy, click on the link below: Data Privacy Statement

Acknowledgement Section: By submitting an application, by hitting "Submit Application", you certify that the information contained in this application is true and complete. You attest to the fact that the answers provided are correct to the best of your knowledge and ability. You certify that you have not knowingly withheld any information that might affect your chances for hiring. You understand that any false information or omission (including any misstatement) on this application or on any document used to secure this employment can be grounds for rejection of application or, if you are employed by SPS can be grounds for immediate termination from this company.