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Volunteer Data Engineer Jobs (NOW HIRING)

Bloomerang

Sr. Data Engineer

$117K - $140K/yr

The Role As a Sr. Data Engineer at Bloomerang, you'll build the data foundation that powers the ... Volunteer data into a single, well-modeled source of truth-one foundation, many consumers. This is ...

eMed LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off * Short Term & Long Term Disability

Preferred Credit, Inc.

Data Engineer

Saint Cloud, MN · On-site

$82K - $102K/yr

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office ... Donation Matching & Paid Volunteer Time * 401(k) Match - 100% of your deferrals up to 5% * Tuition ...

Metropolitan Companies

Data Engineer

Wyomissing, PA · On-site

$110K - $132K/yr

Data Engineer Department: IT Development Employment Type: Full Time Location: Metropolitan ... Voluntary Benefits (Life Insurance, Short-Term & Long-Term Disability) * Health Savings Account ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$175K - $195K/yr

Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to ... Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$175K - $195K/yr

Overview Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver ... Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life ...

Diné Development Corporation

Data Engineer

$117K - $140K/yr

NOVA is seeking a Data Engineer to design, maintain, and optimize enterprise data pipelines, ETL ... time off, voluntary supplemental benefits, and access to an employee assistance program. The ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure ... Paid Time for Volunteer Events Disclaimer: Eligibility may vary based on factors such as role ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$175K - $195K/yr

Overview Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver ... Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life ...

Metropolitan Staffing

Data Engineer

Wyomissing, PA

$110K - $132K/yr

Metropolitan Companies is seeking a Data Engineer to support our growing data and application ... Voluntary Benefits (Life Insurance, Short-Term & Long-Term Disability) * Health Savings Account ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Through our charitable giving and volunteer programs, we support causes close to our hearts and ... Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ...

Level Up Llc

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Through our charitable giving and volunteer programs, we support causes close to our hearts and ... Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Through our charitable giving and volunteer programs, we support causes close to our hearts and ... As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation ...

Genesis10

Data Engineer

Manhattan, NY · On-site

$75 - $85/hr

Genesis10 is seeking a Data Engineer for a 6 month + contract position with an investment ... Voluntary Hospital Indemnity (Critical Illness & Accident) * Voluntary Term Life Insurance * 401K

The Computer Merchant, Ltd

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE*: $78 - 84/ hour JOB NUMBER ... plan; voluntary life/short term disability/whole life/term life/accident and critical illness ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Qurate Retail Group

Data Engineer

West Chester, PA · On-site

$108K - $130K/yr

Your Opportunity, Your Team The Data Engineer supports QVC and will collaborate with an Agile team ... volunteer hours, and amazing company discounts! In our US market, you can also expect health care ...

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All JobsVolunteer Data Engineer Jobs

Volunteer Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do volunteer data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for volunteer data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some typical responsibilities for a Volunteer Data Engineer on a nonprofit or community project?

As a Volunteer Data Engineer, you may be responsible for designing and maintaining data pipelines, cleaning and transforming raw data, and supporting data analysis tasks for your organization or project. You’ll often work closely with data analysts, program managers, and other volunteers to ensure the data infrastructure supports key decision-making and reporting needs. Responsibilities may also include developing scripts to automate processes, troubleshooting data issues, and implementing best practices for data security and privacy. This collaborative environment offers opportunities to expand your technical skills while contributing to impactful community or social initiatives.

What is a Volunteer Data Engineer job?

A Volunteer Data Engineer is a role in which individuals contribute their data engineering skills to support nonprofit organizations or community-driven projects. They typically help with tasks such as data collection, ETL processes, database management, and data pipeline development. This position is usually unpaid but offers valuable experience in working with real-world data while making a positive impact. Volunteers may work remotely or on-site, depending on the organization. It’s a great opportunity to gain hands-on experience, expand a portfolio, and network with other technical professionals.

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

To thrive as a Volunteer Data Engineer, you need a solid understanding of data modeling, ETL processes, and programming languages like Python or SQL, along with a relevant degree or coursework in computer science, data engineering, or a related field. Experience with tools such as Apache Spark, Airflow, and cloud platforms like AWS or Google Cloud, as well as relevant certifications, is highly valued. Strong problem-solving skills, effective communication, and a collaborative attitude are essential soft skills for this role. These competencies enable you to build robust data pipelines, contribute meaningfully to nonprofit initiatives, and work efficiently with diverse teams in fast-paced, resource-limited environments.

More about Volunteer Data Engineer jobs
What cities are hiring for Volunteer Data Engineer jobs? Cities with the most Volunteer Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Volunteer Data Engineer jobs? States with the most job openings for Volunteer Data Engineer jobs include:
What job categories do people searching Volunteer Data Engineer jobs look for? The top searched job categories for Volunteer Data Engineer jobs are:
Volunteer Data Engineer jobs near you
Infographic showing various Volunteer Data Engineer job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Sr. Data Engineer

Sr. Data Engineer

Bloomerang

Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Bloomerang rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

56th of 246 rated software companies

Job description

At Bloomerang, we believe change happens on purpose. We champion the power and potential of nonprofits, igniting next-level impact with the team and technology built for purpose. Our powerful giving platform and stellar support enable tens of thousands of nonprofits to raise more, recruit more, and retain more, fueling maximum impact and raising the bar on what's possible for the nonprofit sector. That's why, even as the nonprofit sector sees declines in giving, Bloomerang customers raise more year over year.
We're also in the business of creating thriving employees. Join a mission-driven culture built on our core values of Simplify, Care and Act. We know our people are the key to our success, and we're proud to be home to some of the most innovative and skilled individuals in the workforce today. Come feel invigorated and unstoppable with us!
The Role
As a Sr. Data Engineer at Bloomerang, you'll build the data foundation that powers the next decade of the Bloomerang Giving Platform-the BI dashboards, in-product reports, ML models, and AI agents-Penny, our AI fundraising partner, among them. Reporting to the Director of AI Product Engineering, you'll join an established team expanding the Unified Data Foundation (UDF): a Databricks lakehouse that brings together CRM, Fundraising, and Volunteer data into a single, well-modeled source of truth-one foundation, many consumers.
This is a hands-on, builder role. Data is the moat; intelligence is the castle. You'll design the pipelines, harden the models, and make the data observable enough that 24,000+ nonprofits can trust what they see. You'll partner daily with our data architects, AI and ML engineers, and platform engineering peers, and you'll bring AI-native habits into how you write, test, and reason about data systems.
What You Will Do
  • Design and ship production pipelines on Databricks, using a medallion architecture (bronze → silver → gold / landing → curated → presentation) grounded in Data Vault 2.0 modeling patterns.
  • Build and harden the curated and presentation layers-the unified domain model and the product- and reporting-facing views that drive donor lifetime value, retention, lapse risk, and campaign ROI.
  • Resolve identity across products. Build and harden the matching that ties a single supporter together across CRM, Fundraising, and Volunteer-so donor lifetime value, retention, and lapse risk are computed on one trustworthy record, not three partial ones.
  • Move us toward near-real-time data. Partner with our architects on Change Data Capture (Debezium on Kafka/MSK) so customers see donor activity sooner and analysts, Penny and other AI agents act on fresher signals.
  • Integrate trusted external partners through clean, secure, observable pipelines.
  • Make data observable. Extend our existing tracing and AI lifecycle tooling (Honeycomb, MLflow, Langfuse) into ETL, so we catch tenant-level failures before customers do.
  • Partner with AI and product engineers to make sure the right data is in the right shape at the right time for Penny and the products that depend on her.
  • Use AI tools (Claude Code, Cursor, or similar) daily for pipeline development, schema design, code review, and problem-solving. We expect this to fundamentally change how you build, not just speed up what you'd build anyway.
  • Raise the bar on engineering standards-testing, idempotency, documentation, security, and the boring rigor that keeps data trustworthy at scale. We treat data pipelines as software - code review, SemVer, CI/CD via Databricks Asset Bundles - and we hold data engineering to the same standards as our application teams.

What You Need to Succeed
Technical Depth
  • Modern data platform experience: 5+ years building production data pipelines on a modern lakehouse or warehouse. Databricks w/ Unity Catalog strongly preferred; we'll consider Snowflake, BigQuery, or equivalent if your relevant data engineering skills travel.
  • Identity resolution: experience matching and merging records across systems-entity resolution, dedupe/merge, or master-data "golden record" work-especially where there's no shared key to join on.
  • Strong SQL and strong Python (or Scala). Comfort with PySpark is a plus.
  • Data modeling fluency: working knowledge of dimensional and/or Data Vault 2.0 patterns. You can defend a schema decision and explain the trade-offs.
  • Production sensibility: real experience operating pipelines in production-monitoring, alerting, and robust error handling.
  • Streaming and CDC exposure: you don't have to have led that build, but you should know what's hard about moving from batch to near-real-time.

AI-Native Mindset
  • Hands-on AI tool usage: you already use Claude Code, Cursor, or similar AI development environments as a daily part of how you build. You can speak to where they accelerate your work and where they don't.
  • Curiosity about the frontier: you're energized by the pace of AI-driven change in how software-and data-gets built, and you bring that energy into your team.

Ownership & Partnership
  • Quality-first instincts: you don't just write pipelines, you own outcomes. You build observability and testing within from day one.
  • Cross-functional partnership: a track record of working well with data scientists, ML engineers, or applied-AI teams. We have a Penny to feed.
  • Security and data residency awareness: our customers trust us with their donors' data. You take that seriously.

Nice to Haves But Not Required
  • Transformation framework experience generally (dbt, PySpark, etc.).
  • AWS (S3, IAM, networking).
  • Experience with observability tools like Honeycomb, OpenTelemetry, or MLflow.
  • Multi-tenant SaaS data experience.
  • Background in nonprofit, fundraising, or CRM data.

Benefits
Health + Wellness
You'll have access to generous health, vision, and dental insurance options as well as HealthiestYou, a healthcare service that offers convenient, confidential access to quality doctors 24/7, anytime, anywhere.
Time Off
You'll get a competitive PTO package that includes 20 PTO days, 3 flex days, 4 optional volunteer days, 12 paid holidays, as well as paid parental leave. More is more!
401kYou'll receive a 401k match to help invest in your future.
Equipment
Everything you need to be successful, shipped right to your door. You got this. We got you.
Compensation
The salary range for this position is $108,400 - $180,700. You may also be eligible for a discretionary bonus. Actual compensation within the range will be dependent on your skills, experience, qualifications, and location, as well as applicable employment laws
Location
This is a permanent, full-time, fully remote position (within the U.S. and select Canadian Provinces only). Employees living in Indianapolis, IN are welcome to work from our company headquarters. We do not offer Visa sponsorship or relocation assistance at this time.
AccommodationsApplicants who require accommodations may contact careers@bloomerang.com to request an accommodation in completing an application.
Bloomerang is an Equal Opportunity Employer. Individuals seeking employment at Bloomerang are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

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