Remote Data Entry Staff Engineer - Fleet Analytics at Tesla: Shaping the Future of Sustainable Energy and Autopilot Technology

Join the Fleet Analytics Team at Tesla and Revolutionize the Automotive and Energy Industries

Tesla is at the forefront of a sustainable energy revolution, and we're seeking a highly skilled Remote Data Entry Staff Engineer to join our Fleet Analytics team. As a Staff Engineer, you will play a critical role in developing applications that leverage our vast repository of vehicle data to enhance autopilot capabilities, optimize hardware designs, and improve overall product quality.

About Tesla and the Fleet Analytics Team

Tesla's product and engineering subculture is deeply rooted in data-driven decision-making. Our Fleet Analytics team is a vital part of this ecosystem, enabling various teams across the company to harness the power of data to drive innovation. We collect data from every Tesla vehicle, Supercharger, and energy storage device to improve our products and ensure customer safety. As a Staff Engineer on our team, you will work closely with engineers and stakeholders to develop and maintain complex software systems that drive the usage of vehicle data at Tesla.

Key Responsibilities

• Collaborate with stakeholders to design, develop, and maintain complex software systems that leverage vehicle data to drive business outcomes
• Provide technical guidance to Tesla's data engineering and data science community on best practices and industry trends
• Work closely with engineers to drive the adoption of applications and tools developed by the Fleet Analytics team
• Conduct reproducible data analysis on petabytes of data using modern open-source technologies such as Apache Spark, Pandas, and Jupyter notebooks
• Communicate complex data insights and assumptions to stakeholders through clear and concise summaries and visualizations
• Design and implement data pipelines to optimize the performance and accuracy of analysis work across the company
• Develop metrics, applications, and tools that enable engineers to self-serve their data insights and drive business decisions
• Write clean, tested, and maintainable code that can be extended by other software engineers

Essential Qualifications

• 7+ years of software development experience in a related field, with a strong background in data engineering, data science, or a related discipline
• Proficiency in Python and SQL, with experience working with large datasets and data processing engines like Apache Spark
• Experience with data science tools such as Pandas, NumPy, R, Matlab, or Octave, and data visualization libraries like Bokeh or Matplotlib
• Strong foundation in statistics and data analysis, with experience applying statistical techniques to drive business decisions
• Experience building data pipelines, web applications, and machine learning models in a professional setting
• Strong verbal and written communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders
• Strong problem-solving skills, with a bias for action and a willingness to refine problem statements and identify solutions using available data and first principles

Nice to Have Qualifications

• Strong proficiency in Scala, with experience working with distributed computing frameworks like Spark and Presto
• Experience with DevOps tools like Linux, Ansible, Docker, and Kubernetes, and a understanding of continuous integration and continuous deployment (CI/CD) pipelines
• Familiarity with complex hardware systems, including experience working with firmware or hardware engineering teams
• Experience with non-traditional data sources, such as vehicle data or IoT devices

What We Offer

As a full-time Tesla employee, you will be eligible for a comprehensive benefits package, including:

• Competitive pay, with a salary range of $23-40 per hour
• Aetna PPO and HSA plans, with two medical plan options and $0 payroll deduction
• Family-building, fertility, adoption, and surrogacy benefits
• Dental and vision plans, with options that have $0 paycheck contribution
• Company-paid Basic Life, AD&D, short-term and long-term disability insurance
• Employee Assistance Program, with access to counseling and other support services
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits, including critical illness, hospital indemnity, accident insurance, and pet insurance
• Weight Loss and Tobacco Cessation Programs, with access to resources and support
• Tesla Babies program, with benefits and resources for new parents
• Commuter benefits, with options for pre-tax deductions and other perks
• Employee discounts and perks program, with access to Tesla products and services at a discounted rate

Career Growth and Development

At Tesla, we're committed to helping our employees grow and develop their skills. As a Staff Engineer on our Fleet Analytics team, you will have opportunities to:

• Work on complex and challenging projects that drive business outcomes and shape the future of sustainable energy
• Collaborate with cross-functional teams, including engineering, product, and business stakeholders
• Develop and maintain technical skills, with access to training and development resources
• Take on leadership roles and mentor junior engineers, with opportunities for career advancement

Our Culture and Work Environment

At Tesla, we're passionate about our mission to accelerate the world's transition to sustainable energy. Our culture is built on a foundation of innovation, collaboration, and a commitment to excellence. As a remote data entry staff engineer, you will be part of a global team that is shaping the future of the automotive and energy industries.

We're committed to creating a work environment that is inclusive, supportive, and empowering. Our employees are encouraged to be themselves, share their ideas, and take ownership of their work.

Join Our Team

If you're a motivated and talented Staff Engineer looking to make a difference in the world, we want to hear from you. Apply now to join our Fleet Analytics team and help shape the future of sustainable energy and autopilot technology.