> Markdown version of [/jobs/ext/3054935-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/3054935-data-engineer-iii). 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 III - **Company:** Deloitte T.T.L. - **Location:** United States - **Experience:** Experienced - **Salary:** $124,700.0 - $207,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Data Infrastructure, Data Integration, Relational Databases, Global Positioning Systems (GPS), Apache Hive, Python (Programming Language), Apache Maven, Metadata, Meta-Data Management, Metadata Repositories, Query Optimization, SQL Databases, Enterprise Data Management, Data Logging, SC Clearance, Pyspark, Data Pipelines, Databricks - **Published:** September 24, 2026 - **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=367991 ## About the Role * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to provide clear guidance to others, Required: * Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a technical field * 4+ years of experience designing, developing, integrating, or maintaining data pipelines and data integrations using Python and Structured Query Language (SQL) * 4+ years of experience using PySpark or Spark SQL in distributed data processing environments * 4+ years of experience with data modeling, schema design and evolution, metadata management, data lineage, and data quality controls * Active Secret clearance and ability to work fully onsite in Arlington, Virginia, or Rosslyn, Virginia * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve. * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: * Experience with War Data Platform (WDP) Databricks * Experience with Maven Smart System (MSS) or Palantir Foundry * Experience with data pipeline orchestration, scheduling, dependency management, and operational support * Experience with data catalogs, governance frameworks, metadata management, lineage tools, and automated data quality monitoring * Experience with observability practices, including centralized logging, pipeline monitoring, alerting, data freshness checks, and service health checks * Experience with cloud, hybrid, or enterprise data platforms supporting military readiness or federal government data environments ## Description Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As a Data Engineer III on the AI & Data team, you will be responsible for… * Design, develop, integrate, and maintain data pipelines and data integrations across multiple platforms * Build and optimize data transformations using Python, Structured Query Language (SQL), PySpark, and Spark SQL to support ingestion, processing, and delivery needs * Develop and maintain data models, schema designs, metadata, lineage, and data quality controls across relational and non-relational data stores * Troubleshoot pipeline, integration, data, and production issues and support testing, validation, code reviews, and technical documentation * Collaborate with client and engineering teams in onsite delivery environments to support data platform operations, query optimization, and continuous improvement ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)