Pay
In line with similar jobs
$150K–$182K 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 (SME)
Chantilly, VA, US
Actively hiring, first seen by us 2 days ago- Pay
$150,000–182,000/yearAnnual period assumed — pay source
Job Type: Full-Time Target Salary Range*: $150,000 - $182,000 *This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Security Clearance: Active TS or higher [Required] Job Type: Full-Time Target Salary Range*: $150,000 - $182,000
Read the full posting
What you’ll work on
Full postingBuild and maintain data pipelines for visual analytics and high-performance processing
Design and construct large enterprise relational databases
Integrate new data systems with existing enterprise data warehouses
Transform structured and semi-structured data into actionable information
Develop standards and best practices for database operations, programming, and security
From the employer’s posting
Build and maintain data pipelines supporting visual analytics applications and high-performance data processing.
Design and construct large enterprise relational databases and ensure efficient performance.
Integrate new data systems with existing enterprise data warehouses.
Transform structured and semi-structured data into usable, actionable information.
Develop strategies, standards, and best practices for database operations, programming, and security.
What you’ll bring
All qualificationsCore experience
- Active TS security clearance or higher
- Minimum of 10 years of experience
- Bachelor's degree required
- Strong experience with relational databases, SQL, and large-scale data design
- Hands-on experience building pipelines for structured and semi-structured data
Preferred experience
- Experience with government or multi-enclave data environments.
- Experience with cloud data platforms or hybrid architectures.
- Degree in Data Engineering, Computer Science, or a related field.
Qualification wording
Active TS or higher [Required]
Minimum of 10 years of experience.
Bachelor’s degree required.
Strong experience with relational databases, SQL, and large-scale data design.
Hands-on experience building pipelines for structured and semi-structured data.
Experience with government or multi-enclave data environments.
Experience with cloud data platforms or hybrid architectures.
Degree in Data Engineering, Computer Science, or a related field.
Education & alternatives
Education - Bachelor’s degree required. Experience
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 26, 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 2
Early. 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.
Amatriot Group is hiring
21 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- Elixir
- Python
- SQL
- AWS
- Kafka
- Kubernetes
- PostgreSQL
- Terraform
- Flask
Where the posting names them
- Flask. - Elixir. - Phoenix LiveView.
ETL and Data Processing - Python. - Cribl.
- Minimum of 10 years of experience. - Strong experience with relational databases, SQL, and large-scale data design. - Hands-on experience building pipelines for structured and semi-structured data.
- JFrog Artifactory. - AWS cloud services. UI and Application Technologies
- PostgreSQL. - Apache Kafka. - Splunk.
Infrastructure and Delivery Technologies - Kubernetes. - Terraform.
- Apache NiFi. - PostgreSQL. - Apache Kafka.
- Kubernetes. - Terraform. - GitLab CI/CD.
- Vue.js. - Flask. - Elixir.
Your next step
Complete your application on amatriot.clearcompany.com. The employer’s form will show what is required.
Already applied? Track this application
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
Location: Chantilly, VA. 4 days onsite.
Security Clearance: Active TS or higher [Required]
Job Type: Full-Time
Target Salary Range*: $150,000 - $182,000
*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary
Position OverviewThe Data Engineer (SME) provides expert leadership in designing, building, and maintaining data systems supporting advanced analytics and visual intelligence applications. This role develops scalable data pipelines, builds large enterprise relational databases, and ensures secure, efficient data flows across the organization. The SME integrates new data systems with existing platforms and transforms structured and semi-structured data into actionable information.
Key ResponsibilitiesData Pipeline Development and Transformation
- Build and maintain data pipelines supporting visual analytics applications and high-performance data processing.
- Transform structured and semi-structured data into usable, actionable information.
- Use open-source, commercial off-the-shelf (COTS), and government off-the-shelf (GOTS) technologies to support analytics and data workflows.
Database Design and Systems Integration
- Design and construct large enterprise relational databases and ensure efficient performance.
- Integrate new data systems with existing enterprise data warehouses.
- Refine system performance to support data processing and analytics needs.
Standards and Secure Data Operations
- Develop strategies, standards, and best practices for database operations, programming, and security.
Collaboration and Data Quality
- Collaborate with teams to analyze data needs and improve data quality and usability.
Education
- Bachelor’s degree required.
Experience
- Minimum of 10 years of experience.
- Strong experience with relational databases, SQL, and large-scale data design.
- Hands-on experience building pipelines for structured and semi-structured data.
- Experience integrating new systems with enterprise data warehouses.
Skills
- Knowledge of data engineering, database development, or related areas.
- Familiarity with analytics, visualization technologies, and high-performance or distributed computing.
- Understanding of secure data practices and zero trust principles.
- Strong communication and problem-solving skills.
- Technical capabilities supporting an in-house, custom-developed data pipeline.
Infrastructure and Delivery Technologies
- Kubernetes.
- Terraform.
- GitLab CI/CD.
- JFrog Artifactory.
- AWS cloud services.
UI and Application Technologies
- Vue.js.
- Flask.
- Elixir.
- Phoenix LiveView.
- DaisyUI.
ETL and Data Processing
- Python.
- Cribl.
- Apache NiFi.
- PostgreSQL.
- Apache Kafka.
- Splunk.
- Custom GOTS applications.
- Complex data parsing and streamlined ingestion.
- Data provenance and end-to-end lineage tracking.
- Schema-aligned ingestion and normalization of diverse structured and unstructured data.
Other Requirements
- On-site attendance four days per week.
- Experience with government or multi-enclave data environments.
- Background with data visualization platforms or visual analytics applications.
- Experience with cloud data platforms or hybrid architectures.
- Degree in Data Engineering, Computer Science, or a related field.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Job Type: Full-Time Target Salary Range*: $150,000 - $182,000 *This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary
- Location & working pattern
Chantilly, VA, US
Other Requirements - On-site attendance four days per week. Preferred Qualifications
More source context
- Background with data visualization platforms or visual analytics applications. - Experience with cloud data platforms or hybrid architectures. - Degree in Data Engineering, Computer Science, or a related field.
- Work authorization
Location: Chantilly, VA. 4 days onsite. Security Clearance: Active TS or higher [Required] Job Type: Full-Time