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# Data Scientist - Senior

- **Company:** Accenture
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Salary:** $94,000.0 - $178,700.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Amazon Web Services, Data Analysis, Automated Storage and Retrieval Systems, C Sharp (Programming Language), Computer Programming, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Relational Databases, Database Development, Distributed Systems, Elasticsearch, Middleware, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Open Source Technology, Parsing, RabbitMQ, Redis, Cloud Services, Zero Trust Network Access, SQL Databases, Data Streaming, Systems Integration, Unstructured Data, Visual Analytics, Data Processing, Backend, AngularJS, Gitlab-ci, Kubernetes, Information Technology, Data Lineage, Celery, Terraform, Data Pipelines, OpenSearch, Artifactory
- **Published:** October 15, 2026
- **Apply:** https://dejobs.org/x/x/51BA1C845A5D4B63BB6ED1842FC0A54A/job/

## About the Role

* 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

## Description

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.