Data Scientist - Senior
Chantilly, VA
- Pay
USD 94,000–178,700/yearAnnual period assumed — pay source
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
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Read the full posting
What you’ll work on
Full postingBuild and maintain data pipelines that support visual analytics applications and high performance data processing.
Design and construct large enterprise relational databases and ensure they perform efficiently.
Develop strategies, standards, and best practices for database operations, programming, and security.
From the employer’s posting
What you'll do: 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.
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.
Use open source, COTS, and GOTS technologies to support analytics and data workflows. Develop strategies, standards, and best practices for database operations, programming, and security. Collaborate with teams to analyze data needs and enhance overall data quality and usability.
What you’ll bring
All qualificationsCore experience
- Knowledge of data engineering, database development, or related areas.
- Experience with government or multi enclave data environments.
- Strong experience with relational databases, SQL, and large scale data design.
- Experience with cloud data platforms or hybrid architectures.
- Hands on experience building data pipelines for structured and semi structured data.
- Degree in Data Engineering, Computer Science, or related field.
Qualification wording
Knowledge of data engineering, database development, or related areas.
Experience with government or multi enclave data environments.
Strong experience with relational databases, SQL, and large scale data design.
Experience with cloud data platforms or hybrid architectures.
Hands on experience building data pipelines for structured and semi structured data.
Degree in Data Engineering, Computer Science, or related field.
Tools in this posting
- SQL
- MySQL
- Python
- C#
- AWS
- PostgreSQL
- Elasticsearch
- Kubernetes
- Terraform
- Redis
Source — Tool mentions in context
- 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
- .NET C# - Database (MySQL) - Elasticsearch / OpenSearch
- ETL - Python - RabbitMQ
- Angular - .NET C# - Database (MySQL)
- 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
- In-house custom developed application with end-user UI and ETL UI - Kubernetes - Terraform
- Kubernetes - Terraform - GitLab CI/CD
- Celery - Redis / Valkey - Databases (MySQL, Postgres, Microsoft SQL)
Job description
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:
- 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.
- Use open source, COTS, and GOTS technologies to support analytics and data workflows.
- Develop strategies, standards, and best practices for database operations, programming, and security.
- Collaborate with teams to analyze data needs and enhance overall data quality and usability.
What you need:
- US Citizen with ACTIVE TS/SCI CIP
- 8+ years of experience
- 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.
- Familiarity with analytics, visualization technologies, and high performance or distributed computing.
- Experience integrating new systems with enterprise data warehouses.
- Understanding of secure data practices and zero trust principles.
- Strong communication and problem solving skills.
Nice to have:
- 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 related field.
- In-house custom developed application with end-user UI and ETL UI
- Kubernetes
- Terraform
- GitLab CI/CD
- JFrog Artifactory
- AWS Cloud Services
- UI & Backend/Middleware
- Angular
- .NET C#
- Database (MySQL)
- Elasticsearch / OpenSearch
- Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
- ETL
- Python
- RabbitMQ
- Celery
- Redis / Valkey
- Databases (MySQL, Postgres, Microsoft SQL)
- Elasticsearch / OpenSearch
- Complex data parsing and streamlined ingestion
- Provenance and end-to-end data lineage tracking
- Schema-aligned ingestion and normalization of diverse structured and unstructured data
- Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
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.
- Work authorization
What you need: - US Citizen with ACTIVE TS/SCI CIP - 8+ years of experience
More source context
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.
- Status in our records
- Active
- First seen by us
- Oct 14, 2026
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.