Data Engineer (m/f/d)

Tesla is accelerating the world's transition to sustainable energy. Revolutionary strategies and products were developed within a few years and successfully launched on a large scale. This is only possible through extraordinary speed, innovation, and efficiency.

Tesla is seeking a talented and motivated Data Engineer to join our Data and Analytics team. We are building a state-of-the-art analytics platform for business and operational intelligence. At Tesla, we have enormous amounts of data, and we want to give meaning to it and help business users make data-driven decisions. Our platform will allow users to answer "what", "when", and "how" questions as well as ask "what if". This person will design, develop, maintain, and support our Enterprise Data Warehouse & BI platform using various data & BI tools, offering a unique opportunity to make a significant impact on the entire organization in developing data tools and driving a data-driven culture.

What You’ll Do

• Work in a time-constrained environment to analyze, design, develop, and deliver Enterprise Data Warehouse solutions.
• Strong expertise in SQL query skills.
• Create ETL/ELT pipelines using Python and Airflow.
• Design, develop, maintain, and support our Enterprise Data Warehouse & BI platform using various data & BI tools.
• Build ad-hoc applications as needed to support more curious data users and provide automation as possible.
• Work with systems that handle sensitive data with strict SOX controls and change management processes.
• Develop collaborative relationships with key business sponsors and IT resources to gather requirements and efficiently resolve requests.
• Provide timely and accurate estimates for newly proposed functionality enhancements.
• Communicate technical and business topics in a 360-degree fashion; use written, verbal, and/or presentation materials as necessary.
• Keep up to date on relevant technologies and frameworks.

What You’ll Bring

• Minimum of 5 years of experience in creating data pipelines using SQL, Python, and Airflow.
• Experience with designing DataMart, Data Warehouse, and database objects within relational databases (MySQL, SQL Server; Vertica is good to have).
• Strong proficiency in SQL and complex query writing.
• Experience with Kafka and real-time streaming data.
• Experience integrating common APIs: REST, SOAP.
• Work experience with Tableau, PowerBI, SSRS, or any reporting platform.
• Excellent problem-solving, verbal, and written communication skills.
• Excellent analytical and organizational skills; ability to work under pressure and deliver on tight deadlines.
• Hands-on experience in creating stellar dashboards and reports for C-level executives.

Nice to Have

• Experience with data science tools such as Pandas, Numpy, Plotly, SciPy.
• 3+ years of development experience in open-source technologies like Python and NodeJS.
• Understanding of distributed computing and database architecture.

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.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.