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# Data Engineer

- **Company:** Robert Half
- **Location:** Commerce, CA, United States
- **Experience:** Experienced
- **Salary:** $160,000.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Microsoft Azure, Code Review, Databases, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Disaster Recovery, Identity and Access Management, Python (Programming Language), Microsoft SQL Server, Cloud Services, Azure Data Lake, SQL Databases, Delivery Pipeline, Apache Spark, Git, Data Layers, Data Lakes, Pyspark, Data Lineage, Data Lakehouse, Data Pipelines, Legacy Systems, Databricks
- **Published:** October 17, 2026
- **Apply:** https://dejobs.org/x/x/8D7EA9028E9A4D1CA1837F54035FB556/job/

## About the Role

* 5+ years of Data Engineering experience.
 * 3+ years of hands-on production experience with Databricks and Apache Spark.
 * Strong technical leadership experience, including architecture ownership and mentoring engineers.
 * Advanced proficiency in Python, PySpark, and SQL.
 * Experience with:
 * Azure Databricks
 * Azure Data Lake Storage (ADLS Gen2)
 * Delta Lake
 * Databricks Workflows or Lakeflow Jobs
 * Strong understanding of medallion architecture and modern data lakehouse design.
 * Experience migrating enterprise workloads from SQL Server or similar database platforms to the cloud.
 * Expertise with data quality frameworks, monitoring, alerting, reconciliation processes, and disaster recovery strategies.
 * Experience with Git-based development workflows, automated testing, and CI/CD deployment pipelines.
 * Excellent communication skills with the ability to explain technical decisions to both technical and non-technical audiences.

## Description

We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.

If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.

What You'll Do

 * Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.
 * Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.
 * Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.
 * Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.
 * Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.
 * Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.
 * Lead code reviews, technical design discussions, and engineering standards across the data team.
 * Mentor and support data engineers while fostering a culture of technical excellence.
 * Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.