Sr. Data Engineer, Datawarehouse, Service & Tools

Tesla Motors
Fremont, CA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$120,000.0 - $216,000.0
Working hours
Regular working hours

Tech stack

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
+12 more
Microsoft SQL Server MySQL SQL Databases Data Streaming Tableau (Software) Apache Spark Change Data Capture Data Lakes Pyspark Information Technology Vertica Data Pipelines

Job 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

Requirements

  • 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

Benefits & conditions

paid holidays, flex time, 401(k), Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

Expected Compensation $120,000 - $216,000/annual salary + cash and stock awards + benefits

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