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Full Stack Data Analyst Developer Jobs in Virginia

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 ... Integrate data from different systems and platforms to create unified datasets for analysis and ...

AIToolboard

Full Stack Data Scientist (AI/ML)

Reston, VA · On-site

$120 - $160/hr

This role combines deep modeling expertise, strong software engineering skills, and practical MLOps ... and applied analytics. • Advanced proficiency in Python, ML libraries, SQL, and big data ...

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis. * Strong understanding of machine learning algorithms and statistical modeling techniques. * Hands ...

IBM

Full-Stack Data Engineer (TS/SCI)

Hampton, VA · On-site

The team conducts empirical analysis to provide definitive accounts of DoW ISR contributions to ... We are seeking a TS//SCI cleared Full Stack Data Engineer with a variety of technical skills, a ...

Sellers & Associates

Full Stack Developer

Arlington, VA · On-site

Position Description Job Title / Labor Category Title Full Stack Developer Location Arlington, VA ... Experience with COTS data analytics applications, including Microsoft Power Platform tools such as ...

Spatial Front, Inc

Full Stack Developer

Arlington, VA · On-site

... and data access layers. • Collaborate with UX designers, architects, and DevOps engineers to ... thoughtful analysis, strategic planning and precise execution. Founded in 2008, the company is ...

Redhorse Corporation

Full Stack Developer

Arlington, VA

$160K - $190K/yr

Working directly with other engineers, architects, data scientists, analysts, and mission users ... This role combines modern full stack software development with AI engineering to create intelligent ...

Redhorse Corporation

Full Stack Developer

Arlington, VA

$160K - $190K/yr

Working directly with other engineers, architects, data scientists, analysts, and mission users ... This role combines modern full stack software development with AI engineering to create intelligent ...

Redhorse Corporation

Full Stack Developer

Arlington, VA · On-site

Working directly with other engineers, architects, data scientists, analysts, and mission users ... This role combines modern full stack software development with AI engineering to create intelligent ...

Redhorse Corporation

Full Stack Developer

Arlington, VA · On-site

$160K - $190K/yr

Working directly with other engineers, architects, data scientists, analysts, and mission users ... This role combines modern full stack software development with AI engineering to create intelligent ...

Spatial Front, Inc

Full Stack Developer

Arlington, VA · On-site

... and data access layers. • Collaborate with UX designers, architects, and DevOps engineers to ... thoughtful analysis, strategic planning and precise execution. Founded in 2008, the company is ...

GRVTY

Full Stack Developer

Chantilly, VA · On-site

This role will be responsible for designing, developing, and maintaining cyber analytic applications. The Full Stack Developer will collaborate with cyber SMEs, data scientists, and engineers to ...

Sellers & Associates

Full Stack Developer

Arlington, VA · On-site

We are seeking a versatile and detail-oriented Full Stack Software Developer to join our team in ... Experience with COTS data analytics applications, including Microsoft Power Platform tools such as ...

Techno Talent Inc.

Full Stack Developer

Mclean, VA · On-site

Onsite Full Stack Developer: As an Senior Software engineer on our team, you''ll be expected to ... Develop full-stack solutions leveraging modern technology stack as well as big-data expertise. Work ...

M1 Technology

Full Stack Developer

Chantilly, VA

M1 Technology is seeking a skilled Full Stack Developer to contribute to the design, development ... Experience with data integration and analytics tools * AWS certification or similar cloud platform ...

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How much do full stack data analyst developer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for full stack data analyst developer in Virginia is $58.75, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.69 per hour, depending on experience, location, and employer.

What is a full stack data analyst developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.

How does a full stack data analyst developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.

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

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

What are popular job titles related to Full Stack Data Analyst Developer jobs in Virginia?

For Full Stack Data Analyst Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Analyst Developer jobs in Virginia look for?

The top searched job categories for Full Stack Data Analyst Developer jobs in Virginia are:

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Full Stack Data Analyst Developer jobs near you

Full Stack Data Engineer

Arlington, VA • On-site, Remote

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

Full-time

Re-posted 19 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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