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# Senior Data Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Milwaukee, WI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, 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, Git, Data Lakes, Pyspark, Information Technology, Data Management, Terraform, Data Pipelines, Serverless Computing, Key Vault, Databricks
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-engineer-milwaukee-wi-usa-58886157

## About the Role

_ and schema agreements * Lead design and optimization of high-volume data pipelines * Define and enforce data engineering standards (naming conventions, partitioning, cluster configs, Spark tuning) * Drive performance optimization (AQE tuning, liquid clustering, broadcast joins, shuffle partitions) * Design Databricks cluster policies, autoscaling, and cost optimization * Conduct root cause analysis on production incidents and implement fixes * Mentor junior/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) Tasks * 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 aa
Catalog, (row/column security, external locations, system tables) * IaC - Terraform, Azure ARM templates * Bachelor's degree 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 Key requirements *

## Description

Experteer Overview In this role you will design and optimize large-scale data pipelines and data solutions for client projects within Deloitte's AI & Engineering team. You will collaborate with cross-functional stakeholders and client architects to deliver end-to-end data platforms on Azure and Databricks. You drive performance, governance, and cost optimization while mentoring junior engineers. This opportunity offers hands-on technical leadership with exposure to cutting-edge data tech in a consulting setting. Compensation / Benefits * Communicate with Engagement Managers, project teams, and client/functional teams; escalate issues as needed * Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory and Databricks * Write and tune PySpark / Spark SQL notebooks for large-scale transformations * Architect end-to-end data solutions across dev, UAT, prod with Unity Catalog * Lead design discussions with client architects and counterparts * Collaborate on data contracts and schema agreements * Lead design and optimization of high-volume data pipelines * Define and enforce data engineering standards (naming conventions, partitioning, cluster configs, Spark tuning) * Drive performance optimization (AQE tuning, liquid clustering, broadcast joins, shuffle partitions) * Design Databricks cluster policies, autoscaling, and cost optimization * Conduct root cause analysis on production incidents and implement fixes * Mentor junior/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) Tasks * 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 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 Key requirements *


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