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# Sr. Data Engineer, Datawarehouse, Service & Tools

- **Company:** Tesla Motors
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $216,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Apache HTTP Server, Business Intelligence Development, Big Data, Information Systems, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, Software Debugging, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, SQL Databases, Data Streaming, Tableau (Software), Apache Spark, Change Data Capture, Data Lakes, Pyspark, Information Technology, Vertica, Data Pipelines
- **Published:** September 12, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18254870?backUrl=%2Fcareer%2F18254870%2FSr-Data-Engineer-Datawarehouse-Service-Tools-California-Fremont

## About the Role

* Degree in Computer Science, Engineering, Information Systems, Data Science, or related field or equivalent experience
 * Strong foundation in SQL(writing, debugging, and optimizing complex queries)
 * Solid understanding of Python(used heavily with Spark and Airflow)
 * Basic knowledge of ETL/ELTconcepts and data pipeline patterns
 * Familiarity with at least one major relational database (MySQL, SQL Server, PostgreSQL, etc.)
 * Eagerness to learn big data technologies and modern data lake formats

## Description

We are looking for a motivated Data Engineer to join our growing data team. To help build, maintain, and improve reliable data pipelines that power analytics around vehicle service, maintenance, repair, warranty, and collision events. You'll work in a collaborative environment using tools such as Apache Spark, Apache Airflow, Apache Iceberg, relational databases (Vertica, SQL Server, MySQL), and visualization with Tableau.
What You'll Do

 * Assist in building and maintaining ETL/ELT pipelinesusing Apache Airflowto orchestrate workflows
 * Write Spark(PySpark or Scala) jobs for data transformation, cleansing, and aggregation
 * Work with Apache Icebergtables for reliable, ACID-compliant data lake storage and schema evolution
 * Develop and optimize SQL queries and transformations in Vertica, SQL Server, and MySQL
 * Help implement incremental data loading patterns and CDC (change data capture) processes
 * Collaborate with data analysts, BI developers, and stakeholders to understand data requirements
 * Monitor pipeline health, troubleshoot failures, and improve reliability & performance
 * Participate in data quality checks and documentation of pipelines and data flows
 * Support Tableau dashboard developers by ensuring clean, well-structured data is available
 * Learn modern data engineering best practices and gradually take on more complex tasks


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