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Remote Data Engineer Jobs in Springfield, VA (NOW HIRING)

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll ... Remote friendly (within the U.S.) * And more! The salary range for candidates who meet the minimum ...

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and architect ...

Senior Data Engineer

Bethesda, MD · Remote

$105K - $215K/yr

This position will be fully remote. Position Responsibilities As a Senior Data Engineer, you will: * Scope, design, and build scalable, resilient distributed systems * Build product definition ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/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 ...

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. They will be responsible for all ...

Enterprise Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Data Engineer

Germantown, MD · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Showing results 41-60

Remote Data Engineer information

See Springfield, VA salary details

$46.5K

$135.5K

$185.4K

How much do remote data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data engineer in Springfield, VA is $135,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are the most commonly searched types of Data Engineer jobs in Springfield, VA? The most popular types of Data Engineer jobs in Springfield, VA are:
What job categories do people searching Remote Data Engineer jobs in Springfield, VA look for? The top searched job categories for Remote Data Engineer jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Data Engineer jobs? Cities near Springfield, VA with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $135,492 per year, or $65.1 per hour.

Data Engineer I

Inroads

Washington, DC • On-site, Remote

$85K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago


Job description

About Inroads:

Inroads applies data, analytics, technology, research, and content development to co-create services and programs that are personalized, relevant, and engaging for the communities who rely on them. Our deep understanding of digital services, policy implementation, and how communities consume information allows us to seamlessly integrate with organizations and public-sector teams to revolutionize how they deliver complex services at scale.

About the Role

We’re hiring an entry-level Data Engineer to join our Data Engineering team. You’ll take ownership of building reliable ELT/ETL pipelines and strong analytical data models using dbt. You don’t need to know everything on day one, but you must be eager to learn, experiment, and grow quickly.

In this position, you will:

  • Build, test, and document dbt models (staging, intermediate, marts) aligned to Kimball dimensional modeling best practices.
  • Implement data quality checks (dbt tests, sources, freshness) and contribute to monitoring data reliability.
  • Collaborate with analytics, product, and domain stakeholders to translate business needs into well-modeled datasets.
  • Proactively audit, define, and standardize key business metrics in collaboration with stakeholders to ensure consistency and trust across reporting platforms.
  • Support source onboarding and ingestion from APIs, files, or databases into the warehouse.
  • Maintain clear documentation for datasets, lineage, and transformation logic.
  • Assist with CI/CD for analytics code (Git workflows, PR reviews, environments).
  • Optimize model performance (incremental strategies, partitions/clustering, query tuning).
  • Troubleshoot pipeline/data issues and contribute to root-cause analyses.
  • Proactively identify improvement opportunities and drive them to completion with high ownership.

What we are seeking:

  • 2 years of experience in data engineering, analytics engineering, or related field (internships, coursework, and projects encouraged) OR an undergraduate degree or higher in a related field
  • Proficiency in SQL; able to write clean, performant queries.
  • Practical experience with dbt (models, tests, documentation, sources; familiarity with Jinja/macros is a plus).
  • Solid grasp of Kimball dimensional modeling (star/snowflake schemas, facts and dimensions, SCDs).
  • Demonstrated ability to translate complex business logic into efficient, technical data structures.
  • Understanding of data warehousing and ELT/ETL patterns.
  • Familiarity with Git and collaborative development workflows.
  • Strong problem-solving and communication skills; attention to detail.
  • Demonstrated willingness to learn quickly and take ownership of outcomes.

Additional experience to stand out:

  • Workflow orchestration experience (Airflow, Dagster, Prefect).
  • Cloud data warehouse exposure (Snowflake preferred).
  • Basic Python skills for data tasks (ETL scripts, API integrations).
  • Experience with data testing/observability tools and lineage documentation.
  • Experience designing and implementing data models specifically for consumption by internal technical teams (Data Analysts, Data Scientists).
  • Exposure to CI/CD for analytics (dbt Cloud/Jobs, GitHub Actions).
  • Domain knowledge of the U.S. healthcare insurance marketplace (Healthcare.gov) data and metrics.

What We Offer:

Inroads offers a friendly work environment and competitive compensation and benefits package including:

  • Salary: $85,000
  • Premier health insurance plan
  • 401K matching
  • Unlimited vacation leave
  • Paid sick, personal, and volunteer leave
  • 13 paid holidays
  • 15 weeks paid parental leave
  • Professional development stipend & tuition reimbursement
  • Employee Assistance Program (EAP)
  • Supportive & collaborative culture 
  • Flexible working hours
  • Remote friendly (within the U.S.)
  • And more! 

The salary range for candidates who meet the minimum posted qualifications reflects the Company’s good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.

At Inroads, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. Inroads endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Senior Director, People Operations.  Inroads participates in E-verify. EEO is the Law.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.