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Deloitte

Databricks Data Engineer

Deloitte
Seattle, WA $87k - $171k/yr Full time Posted 25d ago
Azure Databricks Big Data Data Analysis Data Architecture Data Engineer Data Integration Data Lake Data Lakehouse Data Pipeline Data Platform Data Processing Database Databricks Databricks Workflows Delta Lake ETL Pyspark Spark SQL
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Job Description

Deloitte is seeking a Databricks Data Engineer to join its Seattle on-site team. The role centers on designing, building, and optimizing cloud-based data engineering solutions with Databricks and Spark to enable large-scale data transformation and data-driven decision making across client engagements. You will collaborate with business and technology colleagues to modernize data environments and support analytics and AI use cases, with a salary range of USD 86,700 to 170,900 per year.

Responsibilities

  • Design, build, and maintain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
  • Support modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  • Develop and maintain batch and streaming data workflows that underpin reporting, analytics, and artificial intelligence use cases
  • Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  • Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support large-scale data transformation programs

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  • 3+ years of experience in data engineering, ETL development, or data platform engineering
  • 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and SQL
  • Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  • Experience working with at least one cloud platform: AWS, Azure, or GCP
  • Ability to travel about 50% on average, depending on client assignments
  • Limited immigration sponsorship may be available

Technologies

  • Databricks, Apache Spark, Python, SQL
  • Delta Lake, Databricks Workflows, Unity Catalog
  • Git, CI/CD pipelines
  • AWS, Microsoft Azure, Google Cloud Platform (GCP)

The Team

  • Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business
  • The team architects, engineering, and deploy cloud-based data solutions to improve decision-making, enable innovation, and support large-scale transformation
  • Practitioners collaborate across business and technology functions to tackle challenges in data modernization, governance, platform engineering, and insight delivery

Preferred

  • Experience with Delta Lake, Databricks Workflows, and Unity Catalog
  • Experience using Git-based version control and CI/CD pipelines
  • Experience supporting batch and streaming data workloads
  • Experience with data warehousing, lakehouse architecture, and performance optimization
  • Experience supporting analytics or machine learning data pipelines
  • Experience working in consulting or client service delivery environments

Information for applicants with a need for accommodation

Information is available at the following Deloitte page: Join Deloitte assistance for disabled applicants

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