Back to jobs

Data Engineer

Vienna, VA

Pay
USD 125,000–140,000/year — pay source
Salary 125,000 – 140,000 USD per year 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.
Read the full posting
Work setup
Unconfirmed
Employment
Full-time — employment source
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
Employment type Full-time
Read the full posting

Before you apply

Eligibility
Candidates must be located in the Vienna, VA area and able to work on-site at the Vienna, VA office 3–5 days per week. — eligibility source
Candidates must be located in the Vienna, VA area and able to work on-site at the Vienna, VA office 3–5 days per week. Hybrid arrangements may be available at the supervisor’s discretion.
Read the full posting
Apply at Steerbridge

What you’ll work on

Full posting
  • Design, build, optimize, and maintain scalable batch and real-time ETL/ELT pipelines for structured and unstructured data across complex, distributed systems.

  • Develop and manage modern data lake and cloud-based data architectures using platforms such as AWS S3 and Azure Blob Storage, including support for API-based data integration.

  • Develop performant SQL queries and Python or JavaScript scripts for data ingestion, parsing, transformation, cleanup, and processing.

From the employer’s posting
Key Responsibilities Design, build, optimize, and maintain scalable batch and real-time ETL/ELT pipelines for structured and unstructured data across complex, distributed systems. Develop and manage modern data lake and cloud-based data architectures using platforms such as AWS S3 and Azure Blob Storage, including support for API-based data integration.
Design, build, optimize, and maintain scalable batch and real-time ETL/ELT pipelines for structured and unstructured data across complex, distributed systems. Develop and manage modern data lake and cloud-based data architectures using platforms such as AWS S3 and Azure Blob Storage, including support for API-based data integration. Implement data transformation, workflow automation, and orchestration using technologies such as dbt, Informatica, Azure Data Factory, Databricks, AWS Glue, EventBridge, and S3 Event Notifications.
Implement data transformation, workflow automation, and orchestration using technologies such as dbt, Informatica, Azure Data Factory, Databricks, AWS Glue, EventBridge, and S3 Event Notifications. Develop performant SQL queries and Python or JavaScript scripts for data ingestion, parsing, transformation, cleanup, and processing. Conduct data profiling, linkage, validation, and quality checks while maintaining data lineage, governance, security, compliance, and performance standards across data environments.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Computer Science or a related field, with a minimum of 3 years of relevant professional experience.
  • Strong proficiency in Python and SQL, with hands-on experience using Pandas, PySpark, and AWS Glue.
  • Strong understanding of ETL/ELT frameworks, data lake design, and cloud-based data architectures.
  • Familiarity with both real-time and batch data processing tools and methodologies.
  • Experience implementing data governance, data quality, security, and compliance standards within data environments.
  • Ability to appropriately safeguard sensitive information and comply with applicable organizational security and privacy requirements.

Preferred experience

  • 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 the design of scalable ETL/ELT processes across complex, distributed systems.
  • Familiarity with multi-cloud data processing environments, including AWS S3 and Azure Blob Storage, as well as API-based data integration.
Qualification wording
Bachelor’s degree in Computer Science or a related field, with a minimum of 3 years of relevant professional experience.
Strong proficiency in Python and SQL, with hands-on experience using Pandas, PySpark, and AWS Glue.
Strong understanding of ETL/ELT frameworks, data lake design, and cloud-based data architectures.
Familiarity with both real-time and batch data processing tools and methodologies.
Experience implementing data governance, data quality, security, and compliance standards within data environments.
Ability to appropriately safeguard sensitive information and comply with applicable organizational security and privacy requirements.
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 the design of scalable ETL/ELT processes across complex, distributed systems.
Familiarity with multi-cloud data processing environments, including AWS S3 and Azure Blob Storage, as well as API-based data integration.

Tools in this posting

  • JavaScript
  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • S3
  • pandas
  • PySpark
Source — Tool mentions in context
- Implement data transformation, workflow automation, and orchestration using technologies such as dbt, Informatica, Azure Data Factory, Databricks, AWS Glue, EventBridge, and S3 Event Notifications. - Develop performant SQL queries and Python or JavaScript scripts for data ingestion, parsing, transformation, cleanup, and processing. - Conduct data profiling, linkage, validation, and quality checks while maintaining data lineage, governance, security, compliance, and performance standards across data environments.
- Bachelor’s degree in Computer Science or a related field, with a minimum of 3 years of relevant professional experience. - Strong proficiency in Python and SQL, with hands-on experience using Pandas, PySpark, and AWS Glue. - Strong understanding of ETL/ELT frameworks, data lake design, and cloud-based data architectures.
- Design, build, optimize, and maintain scalable batch and real-time ETL/ELT pipelines for structured and unstructured data across complex, distributed systems. - Develop and manage modern data lake and cloud-based data architectures using platforms such as AWS S3 and Azure Blob Storage, including support for API-based data integration. - Implement data transformation, workflow automation, and orchestration using technologies such as dbt, Informatica, Azure Data Factory, Databricks, AWS Glue, EventBridge, and S3 Event Notifications.
- Develop and manage modern data lake and cloud-based data architectures using platforms such as AWS S3 and Azure Blob Storage, including support for API-based data integration. - Implement data transformation, workflow automation, and orchestration using technologies such as dbt, Informatica, Azure Data Factory, Databricks, AWS Glue, EventBridge, and S3 Event Notifications. - Develop performant SQL queries and Python or JavaScript scripts for data ingestion, parsing, transformation, cleanup, and processing.
- 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 the design of scalable ETL/ELT processes across complex, distributed systems.
- Experience mentoring junior engineers and leading the design of scalable ETL/ELT processes across complex, distributed systems. - Familiarity with multi-cloud data processing environments, including AWS S3 and Azure Blob Storage, as well as API-based data integration. The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate’s relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer.
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.

Job description

View original posting ↗

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

  • Design, build, optimize, and maintain scalable batch and real-time ETL/ELT pipelines for structured and unstructured data across complex, distributed systems.

  • Develop and manage modern data lake and cloud-based data architectures using platforms such as AWS S3 and Azure Blob Storage, including support for API-based data integration.

  • Implement data transformation, workflow automation, and orchestration using technologies such as dbt, Informatica, Azure Data Factory, Databricks, AWS Glue, EventBridge, and S3 Event Notifications.

  • Develop performant SQL queries and Python or JavaScript scripts for data ingestion, parsing, transformation, cleanup, and processing.

  • Conduct data profiling, linkage, validation, and quality checks while maintaining data lineage, governance, security, compliance, and performance standards across data environments.

  • Collaborate with data scientists, software engineers, and stakeholders to deliver reliable data products supporting analytics, reporting, and model development.

  • Maintain technical documentation for pipelines, data structures, infrastructure, standards, and data products while mentoring junior engineers through technical guidance, code reviews, and engineering best practices.

Required Qualifications

    • Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role.

    • Bachelor’s degree in Computer Science or a related field, with a minimum of 3 years of relevant professional experience.

    • Strong proficiency in Python and SQL, with hands-on experience using Pandas, PySpark, and AWS Glue.

    • Strong understanding of ETL/ELT frameworks, data lake design, and cloud-based data architectures.

    • Familiarity with both real-time and batch data processing tools and methodologies.

    • Experience implementing data governance, data quality, security, and compliance standards within data environments.

    • Ability to appropriately safeguard sensitive information and comply with applicable organizational security and privacy requirements.

    • Candidates must be located in the Vienna, VA area and able to work on-site at the Vienna, VA office 3–5 days per week. Hybrid arrangements may be available at the supervisor’s 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 the design of scalable ETL/ELT processes across complex, distributed systems.

    • Familiarity with multi-cloud data processing environments, including AWS S3 and Azure Blob Storage, as well as API-based data integration.

The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate’s relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer.

SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility.

 

Salary

125,000 – 140,000 USD per year

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.

 

Employment type

Full-time

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on jobs.lever.co. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Salary 125,000 – 140,000 USD per year 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.
Location & working pattern

Vienna, VA

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
More source context
- Ability to appropriately safeguard sensitive information and comply with applicable organizational security and privacy requirements. - Candidates must be located in the Vienna, VA area and able to work on-site at the Vienna, VA office 3–5 days per week. Hybrid arrangements may be available at the supervisor’s discretion. Preferred Qualifications
Work authorization
Required Qualifications - Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role. - Bachelor’s degree in Computer Science or a related field, with a minimum of 3 years of relevant professional experience.
Status in our records
Active
First seen by us
Sep 3, 2026
Recorded sightings
7
Last seen by us
Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.