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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Deloitte T.T.L. - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $95,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Big Data, Code Review, Computer Engineering, Information Engineering, Extract Transform Load (ETL), Data Systems, Apache Hive, Python (Programming Language), Microsoft SQL Server, Pair Programming, Performance Tuning, Azure Data Lake, Azure Service Bus, Azure Data Factory, Cloud Monitoring, Apache Spark, HybridCloud, Git, Data Lakes, Pyspark, Information Technology, Data Management, Terraform, Data Pipelines, Serverless Computing, Key Vault, Databricks - **Published:** August 7, 2026 - **Apply:** https://www.juju.com/job/00000000gm3y4i ## About the Role + Python, PySpark, Spark SQL, SQL Server + Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor) + Databricks (Delta Lake, Unity Catalog, Workflows) + Apache Airflow + Git / Azure DevOps + Deep Spark internals (DAG optimization, spill analysis, skew handling) + Delta Lake advanced features (time travel, deletion vectors, predictive I/O) + Unity Catalog governance (row/column security, external locations, system tables) + IaC - Terraform, Azure ARM templates + Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience + Limited immigration sponsorship may be available + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve ## Description Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Recruiting for this role ends on 12/31/2026. Work you'll do/Responsibilities + Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management + Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks + Write and tune PySpark / Spark SQL notebooks for large-scale data transformation + Architect end-to-end data solutions across dev * UAT * prod environments using Unity Catalog + Lead and drive design discussions with client architects and other counterparts + Collaborate with different teams on data contracts and schema agreements + Lead design and optimization of high-volume data pipeline. + Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning + Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management + Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies + Conduct root cause analysis on production incidents and implement permanent fixes + Mentor junior and mid-level engineers through code reviews and pair programming + Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs) The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. ## Related Videos - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)