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# Senior Data Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Stamford, CT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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-stamford-ct-usa-58886156

## About the Role

* 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 partition management) * Design Databricks cluster policies, autoscaling configurations, and 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) * a
root 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 work and clients served Key requirements *

## Description

Experteer Overview As a Senior Data Engineer at Deloitte, you will shape data platforms for client delivery within the Project Delivery Model. You will work closely with engagement managers and cross-functional teams to design and optimize large-scale data pipelines. You'll lead discussions with client architects, implement end-to-end data solutions, and mentor junior engineers. This role offers the chance to work with cutting-edge technologies and drive meaningful impact in a collaborative, client-focused environment. Compensation / Benefits * Communicate with engagement managers and cross-functional teams, escalating matters 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 partition management) * Design Databricks cluster policies, autoscaling configurations, and 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, 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 work and clients served Key requirements *


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