Job Description
What To Expect
We are seeking a skilled and collaborative Data Engineer to join our team and drive the development of data pipelines and analytics tooling to support the growth of our energy business, including Industrial, Residential, Supercharger, and Solar products. As a key member of our team, you will design, build, and maintain large-scale data systems to extract insights from various data sources, including deployed fleets, internal applications, and other data warehouses. Your work will contribute to our understanding of key business performance indicators, informing data-driven decisions to optimize our strategies and drive business growth.
You will be responsible for leading the development of data efforts to identify and resolve fleet-wide performance, operation, and maintenance challenges across our growing fleet of energy products. You will work closely with cross-functional teams, including Industrial Energy, Residential Energy, and Solar Product and Service Engineering, to maximize product health of our fleet.
What You'll Do Derive an overall strategy of data management, within an established information architecture that allows us to scale data processing effectively Gather and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks Develop aggregate and summary tables for various engineering teams that span across multiple product lines and geographies Mentor and lead data engineers providing technical guidance and oversight Design and develop new systems and tools to enable cross functional teams to consume and understand data faster Research and incorporate emerging software infrastructures, tools, and technologies, especially pertaining to big data processing
What You'll Bring Degree in Computer Science, Engineering, Physics, or related quantitative field or equivalent experience Real work experience in building, deploying, and maintaining Py spark-based data pipelines Experience with SQL and familiarity with database performance concepts like indices, segmentation, projections, and partitions Knowledge of various data communication protocols (e.g., REST API, GRPC) Strong dev-ops capabilities and bias for automation Proficiency in Python or Scala Experience with Linux
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:
Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) LGBTQ+ care concierge services 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 Employee Assistance Program Sick and Vacation time (Flex time for salary 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
$80,000 - $186,000/annual salary + cash and stock awards + benefits
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
Job Tags
Holiday work, Full time, Temporary work, Work experience placement, Flexible hours,