
at Deloitte
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- Compensation
- $95,000 – $150,000 USD
- City
- Stamford, Chicago, Dallas, Austin, Boston, Atlanta, Miami, Houston
- Country
- United States
Currency: $ (USD)
Full Job Description
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Senior Data Engineer
Arlington Heights, Illinois, United States
Arlington/Rosslyn, Virginia, United States
Atlanta, Georgia, United States
Austin, Texas, United States
Baltimore, Maryland, United States
Boston, Massachusetts, United States
Chicago, Illinois, United States
Dallas, Texas, United States
Hartford, Connecticut, United States
Houston, Texas, United States
Huntsville, Alabama, United States
Jersey City, New Jersey, United States
Miami, Florida, United States
Milwaukee, Wisconsin, United States
Morristown, New Jersey, United States
Princeton, New Jersey, United States
Stamford, Connecticut, United States
Caution against fraudulent job offers. Learn more.
Position Summary
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
- Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
- Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
- Lead and drive design discussions with client architects and other counterparts
- Collaborate with different teams on data contracts and schema agreements
- Lead design and optimization of high-volume data pipeline.
- Define and enforce data engineering standards naming conventions, partitioning strategies, cluster configurations, Spark tuning
- Drive performance optimization AQE tuning, liquid clustering, broadcast joins, shuffle partition management
- Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
- Conduct root cause analysis on production incidents and implement permanent fixes
- Mentor junior and 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)
- 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 the work you do and the clients and industries/sectors you serve
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At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
From entry-level employees to senior leaders, we believe theres always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
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