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Deloitte

Senior Data Engineer

Deloitte
Austin, TX $95k - $150k/yr Full time Posted 19d ago
Senior Apache Airflow Azure Data Factory Azure Databricks Big Data Data Architecture Data Engineer Data Governance Data Integration Data Lake Data Pipeline Data Platform Data Security Database Databricks Databricks Workflows ETL Microsoft Azure Pyspark Spark SQL
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Job Description

At Deloitte, the Senior Data Engineer role sits at the intersection of data architecture and delivery for client engagements in Austin. This position blends hands-on pipeline development with architectural leadership, focusing on ETL/ELT design and optimization, PySpark and Spark SQL notebook work, and guiding data engineering efforts within the Project Delivery Model.

Location: Austin, TX (onsite)

Salary: USD 95,000 - 150,000 per year

Education: Bachelor's degree

Responsibilities

  • Maintain regular communication with Engagement Managers (Directors), project teams, and stakeholders across functional and technical groups, escalating issues requiring higher-level input from engagement management.
  • Design, build, and optimize end-to-end ETL/ELT pipelines using Azure Data Factory and Databricks.
  • Author and tune PySpark and Spark SQL notebooks for large-scale data transformations.
  • Architect data solutions spanning development, UAT, and production environments with Unity Catalog.
  • Lead design discussions with client architects and other counterparts.
  • Collaborate with multiple teams to establish data contracts and schema governance.
  • 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, liquid 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 via code reviews and pair programming.
  • Evaluate new technologies and recommend adoption, including DABs, DLT, Auto Loader, Serverless Compute, and event hubs.

Requirements

  • Proficiency in Python, PySpark, Spark SQL, and SQL Server.
  • Experience with Azure services such as Azure Data Factory (ADF), ADLS Gen2, Key Vault, and Azure Monitor.
  • Hands-on experience with Databricks including Delta Lake, Unity Catalog, and Workflows.
  • Apache Airflow experience.
  • Git and Azure DevOps for version control and CI/CD.
  • Deep understanding of Spark internals, including DAG optimization, spill analysis, and data 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 using Terraform and 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 approximately 10% of the time, depending on client needs.

Technologies

  • Python
  • PySpark
  • Spark SQL
  • SQL Server
  • Azure
  • Azure Data Factory (ADF)
  • ADLS Gen2
  • Key Vault
  • Azure Monitor
  • Databricks
  • Delta Lake
  • Unity Catalog
  • Workflows
  • Apache Airflow
  • Git
  • Azure DevOps
  • DABs
  • DLT
  • Auto Loader
  • Serverless Compute
  • Event Hubs
  • Terraform
  • Azure ARM templates

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