Pay
In line with similar jobs
$145K–$175K 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.
Vienna, VA
Live, first seen by us 60 days agoSalary 145,000 – 175,000 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 in the employer’s posting: hybridFrom the employer’s posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
US citizenship is required for this position under applicable federal contract requirements
Design and maintain scalable backend services and data pipelines
Write clean, tested Python and SQL code and set engineering standards
Architect data storage, processing, and integration solutions
Lead cross-functional technical initiatives and manage timelines and dependencies
Troubleshoot production issues, performance bottlenecks, and data quality problems
Design, develop, and maintain scalable backend services and data pipelines
Write clean, well-tested, and maintainable Python and SQL code
Architect data storage, processing, and integration solutions
Lead cross-functional technical initiatives, managing project timelines, deliverables, and dependencies across teams
Troubleshoot and resolve production issues, including performance bottlenecks and data quality problems
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, with 6+ years of professional software engineering experience focused on backend or data systems.
Strong understanding of relational databases, SQL, API design, microservices architecture, and system integration.
Experience with cloud infrastructure such as AWS, GCP, or Azure, infrastructure-as-code tools such as Terraform, and Git-based version control and CI/CD practices.
Familiarity with data processing frameworks such as Spark and Pandas and workflow orchestration tools such as Airflow.
Demonstrated ability to lead cross-functional projects, manage timelines, risks, competing priorities, and stakeholder needs, and communicate technical concepts effectively to technical and non-technical audiences.
Ability to work independently and drive initiatives forward with minimal oversight in a fast-paced environment.
Experience with cloud data warehouses such as Amazon Redshift.
Experience mentoring engineers and contributing to team technical direction.
- 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, Engineering, or a related field, or equivalent practical experience, with 6+ years of professional software engineering experience focused on backend or data systems. - Expert-level Python programming skills with a strong foundation in computer science fundamentals, including data structures, algorithms, distributed systems, and software design principles.
From the employer’s posting.
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In line with similar jobs
$145K–$175K 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.
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- Design, develop, and maintain scalable backend services and data pipelines that support analytics, reporting, and downstream applications. - Write clean, well-tested, and maintainable Python and SQL code while contributing to engineering standards and best practices. - Architect data storage, processing, and integration solutions, making informed trade-offs between performance, cost, maintainability, scalability, and delivery speed.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, with 6+ years of professional software engineering experience focused on backend or data systems. - Expert-level Python programming skills with a strong foundation in computer science fundamentals, including data structures, algorithms, distributed systems, and software design principles. - Strong understanding of relational databases, SQL, API design, microservices architecture, and system integration.
- Expert-level Python programming skills with a strong foundation in computer science fundamentals, including data structures, algorithms, distributed systems, and software design principles. - Strong understanding of relational databases, SQL, API design, microservices architecture, and system integration. - Experience with cloud infrastructure such as AWS, GCP, or Azure, infrastructure-as-code tools such as Terraform, and Git-based version control and CI/CD practices.
- Strong understanding of relational databases, SQL, API design, microservices architecture, and system integration. - Experience with cloud infrastructure such as AWS, GCP, or Azure, infrastructure-as-code tools such as Terraform, and Git-based version control and CI/CD practices. - Familiarity with data processing frameworks such as Spark and Pandas and workflow orchestration tools such as Airflow.
Preferred Qualifications - Experience with cloud data warehouses such as Amazon Redshift. - Experience mentoring engineers and contributing to team technical direction.
- Experience with cloud infrastructure such as AWS, GCP, or Azure, infrastructure-as-code tools such as Terraform, and Git-based version control and CI/CD practices. - Familiarity with data processing frameworks such as Spark and Pandas and workflow orchestration tools such as Airflow. - Demonstrated ability to lead cross-functional projects, manage timelines, risks, competing priorities, and stakeholder needs, and communicate technical concepts effectively to technical and non-technical audiences.
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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.
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.
Position Overview
We're looking for a Senior Software Engineer to design, build, and maintain the backend systems powering our data platform. This role combines deep technical craftsmanship with the ability to lead cross-functional initiatives — you'll write production-grade code, make architectural decisions, and coordinate with stakeholders across engineering, data science, and product to deliver reliable, scalable data infrastructure.
Key Responsibilities
Design, develop, and maintain scalable backend services and data pipelines that support analytics, reporting, and downstream applications.
Write clean, well-tested, and maintainable Python and SQL code while contributing to engineering standards and best practices.
Architect data storage, processing, and integration solutions, making informed trade-offs between performance, cost, maintainability, scalability, and delivery speed.
Partner with data scientists, analysts, product managers, and engineering teams to translate business requirements into effective technical solutions.
Lead cross-functional technical initiatives, managing project timelines, deliverables, and dependencies across teams.
Conduct code reviews, mentor junior and mid-level engineers, and contribute to technical documentation and knowledge-sharing.
Troubleshoot and resolve production issues, including performance bottlenecks and data quality problems.
Evaluate and recommend tools, frameworks, and approaches to improve data infrastructure and engineering processes.
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, Engineering, or a related field, or equivalent practical experience, with 6+ years of professional software engineering experience focused on backend or data systems.
Expert-level Python programming skills with a strong foundation in computer science fundamentals, including data structures, algorithms, distributed systems, and software design principles.
Strong understanding of relational databases, SQL, API design, microservices architecture, and system integration.
Experience with cloud infrastructure such as AWS, GCP, or Azure, infrastructure-as-code tools such as Terraform, and Git-based version control and CI/CD practices.
Familiarity with data processing frameworks such as Spark and Pandas and workflow orchestration tools such as Airflow.
Demonstrated ability to lead cross-functional projects, manage timelines, risks, competing priorities, and stakeholder needs, and communicate technical concepts effectively to technical and non-technical audiences.
Ability to work independently and drive initiatives forward with minimal oversight in a fast-paced environment.
Experience with cloud data warehouses such as Amazon Redshift.
Experience mentoring engineers and contributing to team technical direction.
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.
145,000 – 175,000 USD per year
Full-time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary 145,000 – 175,000 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.
Vienna, VA
Working pattern and location restrictions need checking in the full posting.
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, Engineering, or a related field, or equivalent practical experience, with 6+ years of professional software engineering experience focused on backend or data systems.