Data Engineer, Training Transformation Tesla

• 3.3 Buffalo, NY Job Details Full-time $90,000
• $162,000 a year 8 hours ago Benefits Commuter assistance Health savings account AD&D insurance Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Flextime Adoption assistance Employee assistance program 401(k) matching Employee discount Benefits from day one Pet insurance Qualifications Data model design Performance tuning Cloud analytics services Data visualization software proficiency Data Integration (Data management) Data modeling projects Data Architecture Design (Architecture design skills) ETL process automation Enterprise Integration System tuning Data performance optimization Python Data analytics technologies Full Job Description 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 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 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 is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 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.