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# Senior Data Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Big Data, Code Review, 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, 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-chicago-il-usa-58886154

## About the Role

tune * Define and enforce data engineering standards (naming, partitioning, cluster configs, Spark tuning) * Drive performance optimization (AQE tuning, liquid clustering, broadcast joins, shuffle partition management) * Design Databricks cluster policies, autoscaling, cost optimization * Conduct root cause analysis on production incidents and implement fixes * Mentor junior and mid-level engineers via 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 - aaaaa
Unity Azure ARM templates * Bachelor's degree in related IT discipline; or equivalent experience * Limited immigration sponsorship may be available * Ability to travel 10% on average Key requirements *

## Description

Experteer Overview As a Senior Data Engineer, you will design and optimize data pipelines and data platforms for complex client environments. You'll work with cross-functional teams to deliver end-to-end data solutions, influence architectural decisions, and mentor junior engineers. This role emphasizes hands-on data engineering, performance tuning, and governance in Azure and Databricks ecosystems. You'll collaborate with client architects to drive scalable, cost-aware data solutions while advancing Deloitte's AI & Engineering initiatives. Compensation / Benefits * Design, develop and optimize ETL/ELT pipelines using Azure Data Factory and Databricks * Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * 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, partitioning, cluster configs, Spark tuning) * Drive performance optimization (AQE tuning, liquid clustering, broadcast joins, shuffle partition management) * Design Databricks cluster policies, autoscaling, cost optimization * Conduct root cause analysis on production incidents and implement fixes * Mentor junior and mid-level engineers via 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 related IT discipline; or equivalent experience * Limited immigration sponsorship may be available * Ability to travel 10% on average Key requirements *


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