What To Expect
We are seeking a highly skilled Data Engineer to design and scale the data and automation backbone of our Global Training Programs & Analytics function.
As the organization implements globally standardize training practices, this role ensures that training operations are measurable, reliable, and automated across all sites. You will build the systems that connect Learning Management Systems (LMS), operational platforms, workflow tools, and business applications into a single, trusted data ecosystem that enables consistent visibility into onboarding, compliance, training execution, and workforce readiness.
You will design and maintain data pipelines, integrations, and reporting solutions that eliminate manual tracking and provide accurate, timely insights into training performance and operational effectiveness. Your work will directly enable leaders and Training Partners to understand how training is progressing across the organization and where improvements are needed.
A key part of this role is building and improving automated workflows that reduce manual effort and increase the speed, accuracy, and scalability of training operations. You will also support the introduction of AI-enabled capabilities where they enhance automation, reporting, and decision-making — with a focus on practical application and operational value.
This is a Data Engineering role at its core, applied to a global training operations environment, with a strong emphasis on integration, automation, and scalable analytics.
What You'll Do
Design, build, and maintain scalable data pipelines and ETL/ELT processes integrating LMS, workflow tools, operational systems, and business applications into centralized reporting environments
Ensure data quality, governance, validation, and monitoring standards across all data systems and integrations
Build and maintain dashboards, reporting solutions, and KPIs using Power BI, Tableau, or similar tools for onboarding, training completion, compliance, adoption, and workforce readiness
Translate operational requirements into clear, scalable reporting solutions that provide accurate, timely insights for operational reviews and leadership visibility
Design automated workflows and alerting mechanisms that reduce manual effort, track delays and risks, and identify compliance gaps in training operations
Support AI-enabled enhancements that improve reporting, insight generation, decision support, and the evolution from manual to automated analytics
Improve system integrations and process automation using APIs, webhooks, and automation tooling
Enhance usability and adoption of reporting tools across global stakeholder groups
Partner with Training Partners, Program Managers, and Operations teams to translate business needs into scalable technical solutions
Serve as technical advisor on data, reporting, and automation opportunities to continuously improve training operations through data and technology
What You'll Bring
3+ years of experience in Data Engineering, Analytics Engineering, or Business Intelligence Engineering
Strong SQL skills (complex joins, CTEs, window functions, performance tuning)
Strong Python skills for automation, APIs, and data processing
Experience building ETL/ELT pipelines and data models
Experience with Power BI, Tableau, or similar BI tools
Experience integrating systems via APIs, webhooks, or automation platforms
Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar)
Experience supporting workflow automation tools (Power Automate, Airflow, UiPath, etc.)
Experience with multiple data architecture paradigms (e.g. MySQL, Microsoft SQL, MongoDB, Kafka, Hadoop, Hbase, Spark, ClickHouse)
Proficiency in Python for data engineering, automation, and analysis. Knowledge of ETL orchestration tools like Airflow and data visualization platforms like Tableau, Power BI
Benefits
Compensation and 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
Expected Compensation
Associate Data Engineer - $90,000 - $135,000/annual salary
Data Engineer - $108,000 - $162,000/annual salary
+ cash and stock awards + benefits for all levels
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
, Tesla
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