Job Summary:
Tesla is seeking a highly skilled Data Engineer to design and scale the data and automation backbone of their Global Training Programs & Analytics function. This role focuses on ensuring that training operations are measurable, reliable, and automated, while building systems that integrate various platforms into a trusted data ecosystem.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.