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Senior Data Engineer (P3005)

84.51°

$97,000 - $166,750
Dec 8, 2025
Cincinnati, OH, US • Chicago, IL, US
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84.51° is looking to design, build, and operate their analytical lakehouse on a modern data stack to personalize the experience for millions of households using first-party retail data.

Requirements

  • Databricks: 2–3+ years with Spark (PySpark/SQL); experience building and operating DLT pipelines and Delta Lake.
  • Azure: Proficiency with ADLS Gen2, Entra ID (Azure AD), Key Vault, Databricks on Azure, and related services.
  • Expert-level SQL and strong Python; Git/GitHub, unit/integration/data testing, and performance tuning.
  • Hands-on Terraform for data platform resources and policies.
  • Solid understanding of medallion and dimensional modeling, data warehousing concepts, and CI/CD best practices.
  • Experience with ELT tools (e.g., Fivetran), Snowflake, and streaming (Event Hubs, Kafka).
  • Familiarity with AI-ready data practices and AI developer tools (e.g., GitHub Copilot).

Responsibilities

  • Design, develop, and optimize secure, scalable batch and near-real-time pipelines on Databricks (PySpark/SQL) with Delta Lake and Delta Live Tables (DLT).
  • Implement medallion architecture, Unity Catalog governance, and robust data quality checks (expectations/testing).
  • Build performant data models and tables to power analytics, ML, and downstream applications.
  • Translate business requirements into data contracts, schemas, and SLAs in partnership with Product and Analytics.
  • Implement monitoring, alerting, lineage, and cost/performance telemetry; troubleshoot and tune Spark jobs and storage.
  • Participate in on-call/incident response rotations and drive post-incident improvements.
  • Contribute to coding standards, code reviews, and reusable patterns/modules.

Other

  • 4–6 years in data engineering; 1–2 years operating as a senior/lead individual contributor on delivery-critical projects.
  • Proven track record delivering production-grade pipelines and data products on cloud platforms.
  • Excellent communicator with the ability to work across Product, Analytics, Security, and Platform teams in an agile setup.
  • Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies.
  • Hybrid work