Data Engineer, Applications Engineering & Manufacturing

What to Expect

This role designs, builds, and maintains the data infrastructure, reports, and applications that power operational decision-making at a manufacturing site. This role partners closely with the Production teams to deliver reliable data pipelines, automate manual workflows, and build reporting and applications that track operational KPIs, surface bottlenecks, and support cost and efficiency decisions on the production floor. The role will own end-to-end analytics solutions - from data ingestion and modeling through dashboards, automation, and ad hoc analysis - that help the site run more efficiently and make faster, better-informed decisions.

What You'll Do

Build reliable data pipelines that ingest, transform, and serve manufacturing data

Create reports/dashboards tracking core operational KPIs that drive action

Design and maintain dimensional data models (star/snowflake schemas) so operational KPIs are consistent, well-documented, and trusted across and sites

Build custom applications and automation, including AI-assisted tools, that streamline day-to-day operations

Deliver ad hoc data analytical solutions to address urgent operational issues

Collaborate on-site with process owners to understand real workflows and translate operational needs into scalable data solutions

Ensure data quality, consistency, and documentation so metrics are trusted across sites

Define, enforce, and continuously improve engineering standards, coding best practices, testing methodologies, CI/CD patterns, monitoring & alerting, and quality assurance processes

What You'll Bring

4+ years of professional experience as a data engineer or in a similar analytics/data engineering role

Experience building and maintaining ETL/ELT data pipelines that ingest, transform, and serve data reliably in production

Proficient with SQL and Python for data engineering (pandas, SQLAlchemy, etc.)

Strong Proficiency with database systems like SQL Server, MySQL, Clickhouse, etc. is required

Experience designing and operating Airflow DAGs in production at scale

Experience building dashboards and operational reporting (e.g., Tableau, PowerBI, or equivalent)

Ability to translate operational problems into practical data solutions and communicate effectively with non-technical stakeholders

Comfortable working in a fast-paced manufacturing environment with a strong on-site partnership mindset

Compensation and Benefits

Benefits

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

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.