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Robert Half Logo Robert Half · IT - Software Development

Data Engineer

United States, Washington · Job Posted June 02, 2026
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Job Description

We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.

Job Responsibility

  • Design, build, and optimize data pipelines using Databricks and Spark
  • Implement Medallion architecture and scalable data processing workflows
  • Develop ingestion pipelines for structured, streaming, and unstructured datasets
  • Work with Azure services (Data Factory, Storage, Functions, Log Analytics)
  • Integrate data across multiple sources to enable high-quality analytics
  • Support hybrid cloud initiatives and evolving data platforms
  • Ensure data quality, integrity, and accessibility across systems
  • Monitor pipeline performance and optimize cost, scalability, and efficiency
  • Support data governance, cataloging, and compliance standards
  • Troubleshoot performance issues, cluster stability, and configuration management
  • Support end-user requests and provide front-line platform support
  • Implement monitoring, logging, and alerting solutions
  • Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)
  • Automate deployment and data workflows for improved efficiency
  • Support continuous delivery within Agile environments

Requirements

  • Bachelor’s degree in Computer Science or related field
  • 3+ years of experience in data engineering / cloud development
  • Hands-on expertise with Databricks and Apache Spark
  • Strong experience with Python and distributed data processing
  • Experience building data ingestion pipelines and ETL workflows
  • Experience working with cloud platforms (Azure preferred, AWS acceptable)
  • Strong understanding of data governance, quality, and security practices
  • Ability to communicate technical solutions to both technical and business stakeholders

Nice to have

  • Databricks Data Engineer certification
  • Experience with Azure Data Factory, Functions, Storage Services
  • Familiarity with AI / advanced analytics workflows
  • Experience with CI/CD pipelines and Agile methodologies
  • Knowledge of FinOps / cloud cost optimization practices

What we offer

  • medical, vision, dental, and life and disability insurance
  • 401(k) plan
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