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Full Stack Data Engineer Jobs in Arlington, VA (NOW HIRING)

rockITdata

Full Stack Data Engineer

Arlington, VA · On-site +1

We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal candidate will have a strong background in both data engineering and software development, with ...

rockITdata

Full Stack Data Engineer

Arlington, VA · Remote

We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal candidate will have a strong background in both data engineering and software development, with ...

AIToolboard

Full Stack Data Scientist (AI/ML)

Reston, VA · On-site

$125 - $150/hr

# Full Stack Data Scientist (AI/ML)Technology VenturesReston, USContractor## About the RoleReston ... This role combines deep modeling expertise, strong software engineering skills, and practical MLOps ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... The ideal candidate will possess a strong background in both data science and software engineering ...

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... The ideal candidate will possess a strong background in both data science and software engineering ...

Pantheon Data

Senior Full Stack Developer

Reston, VA · On-site

$145K - $200K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... The right candidate is a strong engineer who can move comfortably across the stack: user interfaces ...

Pantheon Data

Senior Full Stack Developer

Reston, VA · Remote

$145K - $200K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... The right candidate is a strong engineer who can move comfortably across the stack: user interfaces ...

Northramp LLC

Full Stack Developer

Washington, DC · Remote

The Full Stack Developer will collaborate closely with software engineers, cloud architects, data engineers, DevSecOps professionals, product owners, quality engineers, and security teams to develop ...

Northramp LLC

Full Stack Developer

Washington, DC · On-site

The Full Stack Developer will collaborate closely with software engineers, cloud architects, data engineers, DevSecOps professionals, product owners, quality engineers, and security teams to develop ...

Northramp LLC

Full Stack Developer

Washington, DC · On-site

The Full Stack Developer will collaborate closely with software engineers, cloud architects, data engineers, DevSecOps professionals, product owners, quality engineers, and security teams to develop ...

Worky

Full Stack Developer

Washington, DC · On-site

$150 - $200/hr

The Full Stack Developer will collaborate closely with software engineers, cloud architects, data engineers,DevSecOpsprofessionals, product owners, quality engineers, and security teams to develop ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Arlington, VA

Full Stack Data Engineer information

See Arlington, VA salary details

$51.2K

$155K

$219.2K

How much do full stack data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for full stack data engineer in Arlington, VA is $155,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $181,800.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Arlington, VA?

For Full Stack Data Engineer jobs in Arlington, VA, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Arlington, VA look for?

The top searched job categories for Full Stack Data Engineer jobs in Arlington, VA are:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Arlington, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $155,048 per year, or $74.5 per hour.

Full Stack Data Engineer

Arlington, VA • On-site, Remote

rockITdata
IT Services • 11 - 50 employees
Learn more about rockITdataexternal

Full-time

Re-posted 4 days ago

Job description

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to government entities to deliver predictable, measurable impact for the American taxpayer and consumer.
We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal candidate will have a strong background in both data engineering and software development, with expertise in building end-to-end data solutions. This role offers an exciting opportunity to work on diverse data projects and contribute to the development of innovative data-driven applications. This is a Remote position.
Key Responsibilities
  • Data Ingestion and Integration:
    • Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources.
    • Integrate data from different systems and platforms to create unified datasets for analysis and reporting.
  • Data Storage and Management:
    • Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL databases.
    • Optimize data storage and retrieval mechanisms for performance, scalability, and cost-effectiveness.
  • Data Processing and Transformation:
    • Implement data processing workflows for cleaning, transforming, and enriching raw data into usable formats.
    • Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
  • Data Modeling and Optimization:
    • Design and implement data models to support analytical and reporting requirements.
    • Optimize data models for query performance, data integrity, and storage efficiency.
  • Software Development and Integration:
    • Build software applications and APIs to expose data services and functionality to other systems and applications.
    • Integrate data engineering workflows with existing software systems and platforms.
  • Monitoring and Maintenance:
    • Establish monitoring and alerting mechanisms to track the health and performance of data pipelines and systems.
    • Conduct regular maintenance activities to ensure the reliability, availability, and scalability of data infrastructure.
  • Documentation and Collaboration:
    • Document data engineering processes, architectures, and solutions to facilitate knowledge sharing and collaboration.
    • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development.
  • Expert-level skills in data visualization platforms beyond Tableau and Power BI (e.g. Qlik)
  • Strong understanding of database concepts, data modeling techniques, and SQL programming.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP for building and deploying data solutions.
  • Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).
  • Familiarity with version control systems (e.g., Git) and software development best practices (e.g., Agile, CI/CD).

Preferred Qualifications
  • Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams).
  • Familiarity with data governance and security practices for protecting sensitive data.
  • Strong problem-solving skills and the ability to troubleshoot complex data engineering issues.
  • Excellent communication skills and the ability to collaborate effectively in a team environment.
#LIREMOTE
Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. They're who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.
Know the Why.
Value People Above All Else.
Transparency to a Fault.
Progress, Not Perfection.
Be Good by Doing Good.
Smart People Can Disagree.
Bend but Don't Break.
Represent Your Brand.
Think Differently.
Be Amazing, Be Fearless, Smile, Have Fun!
Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!
rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seeker's new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.
rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law.
rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at dreamjob@rockitdata.com.

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