> Markdown version of [/jobs/ext/4174127-data-engineer-senior](https://www.wearedevelopers.com/jobs/ext/4174127-data-engineer-senior). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Senior - **Company:** Accenture - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $106,300.0 - $221,100.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Software Code Optimization, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Relational Databases, Database Design, Open Source Technology, Performance Tuning, SQL Databases, Data Processing, High Performance Computing, Semi-structured Data, Data Pipelines - **Published:** October 4, 2026 - **Apply:** https://dejobs.org/x/x/5702C52AD1FD40BAA917580A1E1BDF4C/job/ ## About the Role * Bachelor's degree is required. * 8+ years of experience in data engineering, database design, or related fields. * Strong skills in relational database design, SQL, and ETL/ELT processing. * Experience working with structured and semi-structured data and visualization technologies. * Familiarity with high-performance computing and mixed technology environments. * Strong analytical, communication, and collaboration skills. * Experience improving data workflows, performance, and security. Nice to have: * Experience supporting federal or secure, multi-enclave environments. * Background with advanced visualization platforms or high-volume data processing. * Knowledge of data modeling, warehousing, and performance tuning. Eligibility requirements: * Active Top Secret security clearance ## Description * Develop data processing workflows and analytics for desktop and web-based visual analytic tools. * Support large-scale relational data analysis using visualization and high-performance computing. * Build secure data ingest pipelines using open-source, COTS, and GOTS technologies. * Design and optimize enterprise relational databases and establish standards for operations and security. * Integrate new data systems with existing data warehouses and improve performance and functionality. * Provide mentorship and contribute to system optimization and secure posture improvements.