Data Engineer
Summary
Build and maintain scalable data pipelines and platforms using PySpark, Databricks, and Azure services to support analytics and AI workloads.
Come join usIn the Data Engineer role, you’ll expand your expertise by contributing to modern initiatives across a variety of industries and business domains. You’ll work with a broad toolset, with responsibilities including:
What you’ll do
Creating, developing, and operating scalable, efficient, and dependable data pipelinesDelivering end-to-end data platforms, including data architecture and ETL implementationsPartnering with data scientists, analysts, and engineering teams to integrate data and improve end-to-end performanceApplying best practices for data governance, quality, and security across the data estateTuning and streamlining data workflows to maximize reliability and throughputKeeping current with new trends and advancements in data engineeringSupporting and coaching junior data engineers through mentoring and knowledge sharingOpportunity to grow your skills in advanced AI technologies
Tech stack
You’ll use a range of tools depending on the project, however our core stack typically includes:Databricks, PySpark, Azure cloud and services (Data Lake, SQL Database, Azure Databricks, Azure Data Factory), SQL, Python, MS Fabric
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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