Data Engineer (Active TS/SCI with CI Poly Clearance)
Akima Systems Engineering
Chantilly, VA · Posted July 28, 2026
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Where Chantilly, VA ranks
Where Chantilly, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for pay after cost of living in the Mid-Atlantic$192k · of 37
- #1Best cities for pay after cost of living in the Southeast$192k · of 33
- #1Best cities for pay after cost of living in Virginia$192k · of 15
- #2Best all-round cities for mid-career professionals in the Mid-Atlantic78 / 100 · of 37
- #4Best cities for mid-career professionals66% · of 100
- #5Best cities for engineering pay after cost of living$198k · of 94
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 203 open data engineer listings that state pay, the middle half runs $116,500 to $158,500 and the median is $135,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
SUVI is seeking a Data Engineer to support our IRS customer to design, build, and optimize high-performance data pipelines and ETL processes powering a web-based search and analytics application. This role requires the extraction, transformation, and loading of data from various sources (including relational databases and file formats), developing data adapters in Python, and fine-tuning workflows for speed and scale.
This is a hybrid role that requires working on-site in Chantilly, VA, one day per week. To join our team of outstanding professionals, apply today!
Responsibilities
Extract data from a variety of structured and semi-structured data sources including MySQL, Microsoft SQL Server, and PostgreSQL databases; delimited text; and JSON.
Develop logic to cleanse, transform and normalize data into a standard data model.
Write and optimize SQL queries for efficient data extraction and manipulation.
Collaborate as a member of an Agile Scrum team, participating in sprint planning, daily stand-ups, and retrospectives.
Perform rigorous testing and debugging to ensure the stability and performance of data adapters.
Optimize ETL pipelines for scalability and efficiency.
Prepare and maintain comprehensive technical documentation for all development work.
Tune performance of large-scale data workflows for cost efficiency, low latency, and high availability.
Design and manage Elasticsearch/OpenSearch clusters for fast search, indexing and retrieval of large datasets.
Integrate new systems with existing data warehouse structures, enhancing performance and functionality.
Implement CI/CD pipelines for data systems, automate monitoring/alerting and apply infrastructure-as-code best practices.
Participate in Program Increment (PI) and Agile Release Train (ART) activities.
Qualifications
Active Top Secret clearance and SCI eligibility with the ability to pass a CI polygraph.
Bachelor’s Degree in an IT related field.
3-5 years of experience in Python development, with a focus on ETL processes.
3-5 years of experience writing SQL queries.
Proficiency in working with relational databases, specifically MySQL, Microsoft SQL Server, and PostgreSQL.
Strong understanding of data transformation, cleansing, and normalization concepts.
Experience designing and managing Elasticsearch clusters for indexing and searching data.
Familiarity with version control systems (e.g. GIT) and collaborative coding practices.
Experience with data warehousing, big data frameworks, and API-based data integration from enterprise source systems.
Knowledge of data quality, validation and monitoring frameworks, along with data governance, metadata management, and data lineage best practices.
Excellent problem-solving skills and attention to detail.
Experience working in an Agile Scrum environment.
Experience with scripting languages (e.g., Bash).
Proficiency with containerization technologies (e.g., Docker).
Experience working in Linux environments.
This is a hybrid role that requires working on-site in Chantilly, VA, one day per week.
Desired Qualifications:
Experience with the Celery task management framework (Python).
Familiarity with ETL tools and frameworks.
Strong knowledge of performance optimization techniques for Python and SQL systems.
Experience with AWS cloud platforms.
Familiarity with RabbitMQ for distributed messaging.
Knowledge of DevSecOps practices and tools used in classified environments.
Job ID
2026-24569 Work Type
Hybrid Pay Range
$150,000 - $170,000 Benefits
Regular - The company offers a comprehensive benefits program, including medical, dental, vision, life insurance, 401(k) and a range of other voluntary benefits. Paid Time Off (PTO) is offered to regular full-time and part-time employees. Company Description
Work Where it Matters
Suvi, an Akima company, is not just another federal mission services contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.
At Suvi, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.
For our shareholders , Suvi provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.
For our government customers , Suvi delivers subject matter experts, an agile management approach, and innovative technologies that accomplish customers’ missions safely, securely, and efficiently.
As a Suvi employee , you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.
Extract data from a variety of structured and semi-structured data sources including MySQL, Microsoft SQL Server, and PostgreSQL databases; delimited text; and JSON.
Develop logic to cleanse, transform and normalize data into a standard data model.
Write and optimize SQL queries for efficient data extraction and manipulation.
Collaborate as a member of an Agile Scrum team, participating in sprint planning, daily stand-ups, and retrospectives.
Perform rigorous testing and debugging to ensure the stability and performance of data adapters.
Optimize ETL pipelines for scalability and efficiency.
Prepare and maintain comprehensive technical documentation for all development work.
Tune performance of large-scale data workflows for cost efficiency, low latency, and high availability.
Design and manage Elasticsearch/OpenSearch clusters for fast search, indexing and retrieval of large datasets.
Integrate new systems with existing data warehouse structures, enhancing performance and functionality.
Implement CI/CD pipelines for data systems, automate monitoring/alerting and apply infrastructure-as-code best practices.
Participate in Program Increment (PI) and Agile Release Train (ART) activities.
Active Top Secret clearance and SCI eligibility with the ability to pass a CI polygraph.
Bachelor’s Degree in an IT related field.
3-5 years of experience in Python development, with a focus on ETL processes.
3-5 years of experience writing SQL queries.
Proficiency in working with relational databases, specifically MySQL, Microsoft SQL Server, and PostgreSQL.
Strong understanding of data transformation, cleansing, and normalization concepts.
Experience designing and managing Elasticsearch clusters for indexing and searching data.
Familiarity with version control systems (e.g. GIT) and collaborative coding practices.
Experience with data warehousing, big data frameworks, and API-based data integration from enterprise source systems.
Knowledge of data quality, validation and monitoring frameworks, along with data governance, metadata management, and data lineage best practices.
Excellent problem-solving skills and attention to detail.
Experience working in an Agile Scrum environment.
Experience with scripting languages (e.g., Bash).
Proficiency with containerization technologies (e.g., Docker).
Experience working in Linux environments.
This is a hybrid role that requires working on-site in Chantilly, VA, one day per week.
Desired Qualifications:
Experience with the Celery task management framework (Python).
Familiarity with ETL tools and frameworks.
Strong knowledge of performance optimization techniques for Python and SQL systems.
Experience with AWS cloud platforms.
Familiarity with RabbitMQ for distributed messaging.
Knowledge of DevSecOps practices and tools used in classified environments.