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# Senior Data Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Morristown, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Airflow, Microsoft Azure, Code Review, Computer Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Apache Hive, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Cloud Services, 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-morristown-nj-usa-58886146

## About the Role

when 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, and cost optimization * Conduct root-cause analysis on production incidents and implement fixes * Mentor junior and mid-level engineers via code reviews and pairing * 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 *

## Description

Experteer Overview As a Senior Data Engineer at Deloitte, you will design and optimize large-scale data pipelines and end-to-end data solutions within a collaborative, client-focused environment. You will work with cross-functional teams to shape data architectures and governance, leveraging cloud data platforms to deliver impactful insights. The role combines hands-on engineering with leadership in design discussions, mentoring, and technology evaluation, offering opportunities to influence client outcomes and modernize data platforms. Compensation / Benefits * Communicate with Engagement Managers and project teams, escalating issues when 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, partitioning, cluster configs, Spark tuning) * Drive performance optimization (AQE tuning, liquid clustering, broadcast joins, shuffle partition management) * Design Databricks cluster policies, autoscaling, and cost optimization * Conduct root-cause analysis on production incidents and implement fixes * Mentor junior and mid-level engineers via code reviews and pairing * 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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