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Data Transformation Jobs in Virginia (NOW HIRING)

Data Engineer

Vienna, VA · On-site

$125K - $140K/yr

Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies ... Position Overview SteerBridge is seeking a Data Engineer (Mid-Level, 3+ years) to join our growing ...

... data transformation, databases, and/or repositories - Experience assessing and technically reporting on technologies and scientific topics (e.g., Technology Readiness Levels (TRL) and Critical ...

Senior Data Engineer

Newport News, VA · On-site

$96K - $130K/yr

Implement data validation, cleansing, and transformation logic * Monitor and tune database performance, including query optimization, indexing, and resource allocation * Ensure data lineage, metadata ...

Perform hands-on data wrangling, extraction, transformation, loading, validation, integration, and quality-review activities across structured, semi-structured, and related operational datasets.

Palantir Data Engineer

Chantilly, VA · On-site

$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. The Data Engineer will also integrate ...

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

Apply scripting, data manipulation, data cleaning, data transformation, and automation techniques to support analysis and visualization. * Work with data from multiple systems, databases ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Develop and support complex data solutions, including data transformation, validation, and quality controls * Integrate data from a variety of internal and external sources, including REST APIs, flat ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Develop and support complex data solutions, including data transformation, validation, and quality controls * Integrate data from a variety of internal and external sources, including REST APIs, flat ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Develop and support complex data solutions, including data transformation, validation, and quality controls * Integrate data from a variety of internal and external sources, including REST APIs, flat ...

SME - Data Engineer

Herndon, VA · On-site

$180K - $230K/yr

Develop and support complex data solutions, including data transformation, validation, and quality controls * Integrate data from a variety of internal and external sources, including REST APIs, flat ...

SME - Data Engineer

Herndon, VA · On-site

$180K - $230K/yr

Develop and support complex data solutions, including data transformation, validation, and quality controls * Integrate data from a variety of internal and external sources, including REST APIs, flat ...

AWS Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Strong SQL and data-transformation skills. * Experience processing large datasets in distributed environments. * Understanding of data modeling and cloud-based data-pipeline architecture.

Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models * Advanced skill interpreting, extrapolating, and ...

Showing results 41-60

Data Transformation information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data transformation jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data transformation in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What is a data transformation?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the typical daily responsibilities of someone in a data transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

What are the key skills and qualifications needed to thrive in the data transformation position, and why are they important?

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

What job categories do people searching Data Transformation jobs in Virginia look for?

The top searched job categories for Data Transformation jobs in Virginia are:

Infographic showing various Data Transformation job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Engineer

Vienna, VA • On-site

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Position Overview

SteerBridge is seeking a Data Engineer (Mid-Level, 3+ years) to join our growing Aviation team at our headquarters in Tysons Corner (Vienna, VA). In this role, you will support a major federal transformation effort by modernizing and optimizing complex data systems at scale, working alongside architects, analysts, and data scientists to design efficient data flows, enhance data quality, and ensure secure, reliable pipelines for both real-time and batch processing environments. Our projects span AI/ML, cloud architecture, and large-scale data engineering to help modernize critical federal systems. This is a full-time, on-site position based in Vienna, VA (3-5 days/week on-site; hybrid arrangements available at supervisors' discretion).

Key Responsibilities
  • Build, optimize, and maintain batch and real-time data ingestion pipelines, including ETL/ELT processes for structured and unstructured data.
  • Lead design and implementation of scalable ETL processes across complex, distributed systems, and develop and manage data lake architecture for structured and unstructured data.
  • Use tools such as dbt, Informatica, Azure Data Factory, Databricks, and AWS Glue for data transformation and workflow automation, and utilize AWS services (EventBridge, S3 Event Notifications) for workflow orchestration and scheduling.
  • Write performant SQL queries and Python/JavaScript scripts for data parsing, ingestion, and cleanup.
  • Conduct data profiling, linkage, validation, and quality checks across diverse sources; ensure data quality, lineage, governance, and compliance across all systems.
  • Enable cloud-based data processing (e.g., AWS S3, Azure Blob) and support API integration.
  • Collaborate across data science, engineering, and stakeholder teams to deliver accurate and actionable data products, and support reporting and model development with the software team and data scientists.
  • Mentor junior engineers, providing technical guidance and peer reviews.
  • Maintain technical documentation for pipelines, data structures, infrastructure, standards, and data product specifications.
  • Support secure data governance practices and performance tuning in modern cloud platforms.
Required Qualifications
  • Must be a U.S. Citizen.
  • Bachelor's degree in Computer Science or a related field, with a minimum of three (3) years of relevant work experience.
  • An active security clearance, or the ability to obtain one, is required.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with Pandas, PySpark, and AWS Glue.
  • Deep understanding of ETL frameworks, data lake design, and cloud-based architecture.
  • Familiarity with real-time and batch data processing tools and methodologies.
  • Experience with data governance, security compliance, and maintaining data quality standards; responsible for safeguarding sensitive information and adhering to organizational security and privacy policies.
  • Must be local to the Vienna, VA area and able to work on-site at our Vienna, VA office (3-5 days/week); hybrid arrangements available at supervisors' discretion.
Preferred Qualifications
  • Experience with dbt, Informatica, Azure Data Factory, and Databricks for data transformation and workflow automation.
  • Experience with AWS orchestration services such as EventBridge and S3 Event Notifications.
  • Experience mentoring junior engineers and leading design of scalable ETL processes across complex, distributed systems.
  • Familiarity with multi-cloud data processing (AWS S3 and Azure Blob) and API integration.
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays
A salary commensurate with experience will be offered.

SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.

We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

If you would like information about how your application is processed, please contact us.