We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation. Responsibilities: • Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines. • Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization. • Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts. • Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics. • Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction. • Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid. • Collaborate with product and operations teams to translate complex business questions into actionable data models and queries. • Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation. • Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.

• Minimum of 7-10 years of experience in data engineering, with at least 2-4 years leading technical teams. • Expertise in Azure Data Lake Gen2, Delta Lake, Unity Catalog, PySpark, and Python. • Proven ability to design and implement Lakehouse architectures, including medallion frameworks and schema evolution. • Proficiency in Databricks workflows, query optimization, and monitoring tools. • Experience with semantic/metrics layers and advanced analytics for business applications. • Familiarity with Azure OpenAI integrations, vector search, and structured data grounding. • Strong skills in CI/CD development using GitHub Actions or Azure DevOps, as well as infrastructure automation through Bicep or Terraform. • Excellent communication skills, with the ability to mentor engineers and translate business needs into technical solutions.

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Jacksonville, FL
remote
Permanent
120000.00 - 130000.00 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation. Responsibilities: • Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines. • Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization. • Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts. • Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics. • Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction. • Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid. • Collaborate with product and operations teams to translate complex business questions into actionable data models and queries. • Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation. • Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.
2026-01-21T15:13:50Z