Pay
In line with similar jobs
$125K–$140K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Vienna, VA
Live, first seen by us 62 days ago- 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 setting
- Not stated
- 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
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
US citizenship is required for this position under applicable federal contract requirements
- 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
What you’ll work on
Full postingDesign, build and maintain batch and real-time ETL/ELT pipelines
Develop and manage data lake and cloud data architectures on AWS and Azure
Build transformation and workflow automation with dbt, Glue, Databricks and similar tools
Write SQL and Python or JavaScript scripts for ingestion, cleanup and processing
Run data profiling, validation and quality checks with lineage and governance
From the employer’s posting
Design, build, optimize, and maintain scalable batch and real-time ETL/ELT pipelines
Develop and manage modern data lake and cloud-based data architectures using platforms such as AWS S3 and Azure Blob Storage
Implement data transformation, workflow automation, and orchestration using technologies such as dbt, Informatica, Azure Data Factory, Databricks, AWS Glue
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
What you’ll bring
All qualificationsCore 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.
Education & alternatives
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 3, 202662 days ago
- Recorded sightings
- 31
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 62
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Steerbridge is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring has slowed
- Takes jobs down at a usual pace
- 6% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- JavaScript
- Python
- SQL
- AWS
- Azure
- Databricks
- dbt
- S3
- pandas
- PySpark
Where the posting names them
- 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.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
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Already applied? Track this application
Has Steerbridge posted this job before?
Yes. We’ve followed 2 other Data Engineer jobs there since May 2026. 2 came down, usually after about 70 days.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
-
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
Source details
Source notes
Source excerptsSelected 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.