Senior Data Engineer
Senior
Azure
Azure Data Factory
Azure Databricks
Big Data
Bigdata
Cloud
Cloud Platforms
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Lake
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Security
Database
Databricks
Databricks Workflows
Delta Lake
Engineering
ETL
Event Streaming
Microsoft Azure
Spark
SQL
Job Description
Deloitte is seeking a Senior Data Engineer to design, build, and optimize end-to-end data pipelines with Azure Data Factory, Databricks, and PySpark. This onsite role in Jersey City, NJ operates within a Project Delivery Model that prioritizes design leadership, cross-team collaboration, and mentoring of colleagues. The position offers a salary range of USD 95,000 to 150,000 per year and requires a bachelor’s degree.
Responsibilities
- Coordinate regularly with engagement managers (Directors), project teams, and cross-functional technical stakeholders, escalating issues that require higher-level engagement management review.
- Design, build, and optimize ETL/ELT pipelines using Azure Data Factory and Databricks.
- Develop and tune PySpark and Spark SQL notebooks for large-scale data transformations.
- Architect end-to-end data solutions across development, UAT, and production environments leveraging Unity Catalog.
- Lead design discussions with client architects and other counterparts.
- Collaborate with multiple teams to establish data contracts and agreed-upon schemas.
- Lead the design and optimization of high-volume data pipelines.
- Define and enforce data engineering standards including naming conventions, partitioning strategies, cluster configurations, and Spark tuning.
- Drive performance optimization through AQE tuning, efficient clustering, broadcast joins, and shuffle partition management.
- Design Databricks cluster policies, autoscaling configurations, and cost-optimization strategies.
- Conduct root-cause analysis on production incidents and implement durable fixes.
- Mentor junior and mid-level engineers through code reviews and pair programming.
- Evaluate new technologies and advise on adoption (examples include DABs, DLT, Auto Loader, Serverless Compute, and Event Hubs).
Requirements
- Strong skills in Python, PySpark, Spark SQL, and SQL Server.
- Experience with Azure components such as Azure Data Factory, ADLS Gen2, Key Vault, and Azure Monitor.
- Databricks experience including Delta Lake, Unity Catalog, and Workflows.
- Apache Airflow experience.
- Git or Azure DevOps for version control.
- Deep knowledge of Spark internals including DAG optimization, spill analysis, and skew handling.
- Delta Lake advanced features such as time travel, deletion vectors, and predictive I/O.
- Unity Catalog governance covering row/column security, external locations, and system tables.
- Infrastructure as code with Terraform and Azure ARM templates.
- Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
- Limited immigration sponsorship may be available.
- Ability to travel about 10% on average, depending on client assignments.
Technologies
- Python
- PySpark
- Spark SQL
- SQL Server
- Azure Data Factory (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 time travel
- deletion vectors
- predictive I/O
- Unity Catalog governance
- Terraform
- Azure ARM templates
- DABs
- DLT
- Auto Loader
- Serverless Compute
- Event Hubs
Additional information
Accommodation information for applicants: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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