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Remote Non Profit Data Engineer Jobs in Reston, VA

INflow Federal

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

The Data Engineer will ensure accurate, reliable, and performant data flow across applications ... This is a fully remote position. Here, your work is more than a job - it's a journey in innovation.

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data ... This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

INflow Federal

Data Engineer

Arlington, VA · On-site +1

$131K - $158K/yr

The Data Engineer will ensure accurate, reliable, and performant data flow across applications ... This is a fully remote position. Here, your work is more than a job - it's a journey in innovation.

Delan Associates, Inc

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

Glider Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $195K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Shift5

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

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All JobsNon Profit Data Engineer JobsRemote Non Profit Data Engineer JobsRemote Non Profit Data Engineer Jobs in Reston, VA

Remote Non Profit Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do remote non profit data engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote non profit data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Non Profit Data Engineer vs Remote Non Profit Data Analyst?

AspectRemote Non Profit Data EngineerRemote Non Profit Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentDesigning and maintaining data infrastructure for nonprofitsInterpreting data to generate reports and insights for nonprofits
Employer & Industry UsageNonprofits, NGOs, charitable organizationsNonprofits, advocacy groups, social service agencies

While both roles support nonprofit missions, Remote Non Profit Data Engineers focus on building and maintaining data systems, whereas Data Analysts interpret data to inform decision-making. Their skills and daily tasks differ but are complementary in nonprofit data operations.

How does a Remote Non Profit Data Engineer typically collaborate with program teams to support organizational goals?

As a Remote Non Profit Data Engineer, you’ll regularly work alongside program managers, outreach coordinators, and development teams to understand their data needs and translate them into actionable solutions. This often involves joining virtual meetings to discuss data collection strategies, building and maintaining ETL pipelines, and ensuring data quality for accurate reporting. Collaboration tools such as Slack, Zoom, and project management software are commonly used to stay connected across departments. Your work directly supports impact measurement and grant reporting, making cross-functional communication and adaptability essential in this role.

What key skills and qualifications are needed to thrive as a Remote Non Profit Data Engineer, and why are they important?

A Remote Non Profit Data Engineer should possess strong data management, SQL/database proficiency, and experience with ETL processes, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), data visualization tools (such as Tableau or Power BI), and certifications in data engineering are typically valuable. Excellent communication, problem-solving, and a collaborative mindset are crucial soft skills, especially for remote work and understanding nonprofit missions. These abilities ensure data is leveraged effectively to drive impactful decisions and support the organization’s goals while maintaining transparency and data integrity.

What does a Remote Non Profit Data Engineer do?

A Remote Non Profit Data Engineer is responsible for designing, building, and maintaining data systems that support the operations and mission of nonprofit organizations, all while working from a remote location. Their tasks may include developing data pipelines, ensuring data quality, and integrating data from various sources to enable better decision-making. They often collaborate with program staff, data analysts, and IT teams to ensure the organization's data infrastructure meets compliance and reporting needs. By leveraging their technical skills, they help nonprofits use data more effectively to maximize their impact and secure funding.
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Remote Non Profit Data Engineer jobs near you
Data Engineer

Data Engineer

INflow Federal

Arlington, VA • Remote

$131K - $158K/yr

Other

Re-posted 9 days ago

Job description

About INflow Federal - founded in 2013, INflow Federal is a mission-driven small business delivering cutting-edge solutions to the Department of War (DoW) and Joint Force operations across 20+ states. Our strength comes from our people - especially the Veterans who make up over 50% of our workforce. Through our Veteran Outreach Program and employee-first culture, we invest deeply in professional growth, well-being, and innovation. Known for our agility, transparency, and integrity, INflow combines real-world experience with emerging technologies like AI/ML to help our customers lead in a rapidly evolving defense landscape. We empower both our employees and mission partners to stay ahead - driving smarter, faster, and more secure outcomes.

INflow Federal is seeking a Data Engineer to design, develop, and maintain secure data pipelines, transformations, and analytics infrastructure supporting enterprise systems within a Department of Defense (DoD) modernization initiative. The Data Engineer will ensure accurate, reliable, and performant data flow across applications, integrating structured and unstructured data from multiple mission sources into cloud-based storage and analytics environments. This position plays a critical role in enabling interoperability, analytics, and automation across AWS GovCloud IL2-IL5 environments through the use of scalable data engineering practices and secure DevSecOps integration. This is a fully remote position. 

Here, your work is more than a job - it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.

Specific Duties and Responsibilities:
  • Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data
  • Develop and optimize data models and schemas across relational and non-relational databases to support system integrations and analytics
  • Collaborate with system architects, integration developers, and data analysts to ensure data consistency, security, and integrity across cloud environments
  • Implement data migration and synchronization between legacy systems, applications, and modern cloud platforms
  • Utilize AWS services (Glue, Lambda, S3, RDS, Redshift, Kinesis) to build and sustain scalable and fault-tolerant data infrastructure
  • Support data validation and reconciliation, performing quality checks and developing reports to ensure accuracy
  • Integrate data from APIs, streaming sources, and file-based systems into centralized repositories or data lakes
  • Automate data workflows using infrastructure-as-code and CI/CD principles to ensure repeatability and efficiency
  • Monitor and troubleshoot data pipeline performance, ensuring adherence to SLAs and operational reliability
  • Implement data encryption, masking, and access controls in compliance with DoD cybersecurity policies and RMF requirements
  • Support development of dashboards and analytics products, enabling data-driven insights for mission stakeholders
  • Maintain documentation and metadata repositories, including data dictionaries, lineage, and technical specifications
  • Participate in Agile sprints, contributing to backlog refinement, testing, and cross-functional collaboration
Required Skills:
  • Proficiency with Python, SQL, and ETL frameworks (e.g., Apache NiFi, Talend, or AWS Glue)
  • Experience with cloud data services, preferably AWS GovCloud (RDS, S3, Lambda, Glue, Redshift)
  • Knowledge of database management systems (PostgreSQL, SQL Server, DynamoDB, MongoDB)
  • Familiarity with RESTful API integration and data exchange standards (JSON, XML, CSV)
  • Understanding of DoD data security and compliance standards, including encryption, RMF, and STIG adherence
  • Experience developing and maintaining data validation, profiling, and transformation scripts
  • Exposure to data visualization and analytics tools (Power BI, Tableau, QuickSight)
  • Familiarity with Agile software development and DevSecOps delivery frameworks
  • Strong analytical and problem-solving skills for data integration and performance tuning
  • Excellent communication and collaboration across technical and functional teams
  • Attention to detail with focus on data accuracy and consistency
  • Ability to balance data governance, security, and performance objectives
  • Commitment to continuous improvement and mission impact through data-driven decision-making
  • Preferred certifications: AWS Certified Data Engineer - Associate or AWS Certified Developer, CompTIA Security+ CE (DoD 8570), Certified Data Management Professional (CDMP) or equivalent
Required Education and Experience:
  • Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent combination of education, technical training, or work/military experience
  • Minimum 5 years of experience in data engineering, integration, or analytics enablement
  • Experience building and optimizing data pipelines in enterprise or federal environments
Required Clearance
  • Active DoD Secret clearance
Other Notes
  • Some travel may be required: Must have valid driver's license and transportation. This is subject to change at the direction of the customer.
  • If accommodation is needed with your application or the interview process for applicants with disabilities, please contact Human Resources at 703-594-8601.
  • Candidate must have the ability to lift up to 50 lbs.
  • Must have willingness to perform duties not listed in the job description as required by INflow and our customer.
Citizenship Requirements
* Please note that INflow Federal is a defense contractor. Pursuant to our government contracts, candidates must be US Citizens to be considered for employment.
Equal Opportunity Employer 
Diversity and Inclusion
INflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
 
This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.
 
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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