Pay
In line with similar jobs
$94K–$179K 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.
Reads like a Data Engineer role: pipelines and data infrastructure.
Chantilly, VA
Live, first seen by us 20 days agoThe pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $94,000—$178,700 USD What We BelieveRead the full posting
Work setup in the employer’s posting: OnsiteFrom the employer’s posting
US Citizen with ACTIVE TS/SCI CIP
Build and maintain data pipelines for visual analytics and high-performance processing
Transform structured and semi-structured data into actionable information
Design and construct large enterprise relational databases that perform efficiently
Integrate new data systems with existing data warehouses and tune performance
Set standards and best practices for database operations, programming, and security
Build and maintain data pipelines that support visual analytics applications and high performance data processing.
Transform structured and semi structured data into usable, actionable information.
Design and construct large enterprise relational databases and ensure they perform efficiently.
Integrate new data systems with existing data warehouses and refine system performance.
Develop strategies, standards, and best practices for database operations, programming, and security.
US Citizen with ACTIVE TS/SCI CIP
8+ years of experience
Strong experience with relational databases, SQL, and large scale data design.
Hands on experience building data pipelines for structured and semi structured data.
Experience integrating new systems with enterprise data warehouses.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$94K–$179K 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.
Day 20
Similar jobs usually come down between day 6 and day 54.
From 10,782 similar postings that came down. Coming down is not always a hire.
90 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Angular - .NET C# - Database (MySQL)
- ETL - Python - RabbitMQ
- Knowledge of data engineering, database development, or related areas. - Strong experience with relational databases, SQL, and large scale data design. - Hands on experience building data pipelines for structured and semi structured data.
- Redis / Valkey - Databases (MySQL, Postgres, Microsoft SQL) - Elasticsearch / OpenSearch
- JFrog Artifactory - AWS Cloud Services - UI & Backend/Middleware
- Database (MySQL) - Elasticsearch / OpenSearch - Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
- Databases (MySQL, Postgres, Microsoft SQL) - Elasticsearch / OpenSearch - Complex data parsing and streamlined ingestion
- .NET C# - Database (MySQL) - Elasticsearch / OpenSearch
- Celery - Redis / Valkey - Databases (MySQL, Postgres, Microsoft SQL)
- Kubernetes - Terraform - GitLab CI/CD
- In-house custom developed application with end-user UI and ETL UI - Kubernetes - Terraform
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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.
Who you'll be:
The Data Engineer (Senior) provides expert leadership in designing, building, and maintaining the data systems that support advanced analytics and visual intelligence applications. This role develops scalable data pipelines, builds large relational databases, and ensures data flows smoothly and securely across the organization. The SME also integrates new data systems with existing platforms and helps convert structured and semi structured data into meaningful, actionable insights.
What you'll do:
What you need:
Nice to have:
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $94,000—$178,700 USD What We Believe
Chantilly, VA
- Background with data visualization platforms or visual analytics applications. - Experience with cloud data platforms or hybrid architectures. - Degree in Data Engineering, Computer Science, or related field.
What you need: - US Citizen with ACTIVE TS/SCI CIP - 8+ years of experience
Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
More relevant text appears in the full description.