Sr. Data Engineer
Company: Tesla, Inc.
Location: Palo Alto
Posted on: March 21, 2025
Job Description:
Sr. Data Engineer, Analytics, Energy Service EngineeringJob
Category: Energy Service EngineeringLocation: [Location]Req. ID:
232131Job Type: Full-timeWhat to ExpectThe Tesla Energy Service
Engineering Infrastructure and Analytics team is looking for a
passionate and collaborative data analyst to drive and lead our
analytics to ensure the best customer experience and fleet
availability across the Tesla Energy portfolio: Industrial,
Residential, Supercharger, and Solar.This role is integral to
measuring and improving fleet health. You will be responsible for
leading the analytics efforts to identify and resolve fleet-wide
performance, operation, and maintenance challenges across the
growing fleet of energy products through efficient analytics and
actionable dashboards.This position is well suited for experienced
data analysts who want to take the next step and magnify their
impact on accelerating the transition to a sustainable energy
future. This role has a mandate to define and architect the
analytics processes, infrastructure, and tools that both the team
and organization leverage to meet our goals. Curious, inventive,
and adventurous analysts who want to solve problems with data at a
massive scale should apply.As a thought leader within the team, you
will work across the organization to solve problems and ensure the
success of our products alongside Industrial Energy, Residential
Energy, and Solar Product and Service Engineering.Our world-class
teams operate with a non-conventional philosophy of
inter-disciplinary collaboration. Each member of the team is
expected to challenge and to be challenged, to create, and to
innovate. We're tackling the world's most difficult and important
problems-and we wouldn't succeed without our shared passion for
making the world a better place.What You'll Do
- Collaborate with data engineers and infrastructure teams to
design, implement, and operationalize robust data analytics and
reporting solutions. Continuously enhance and adapt these solutions
to align with evolving business needs in an agile environment.
- Lead and execute complex, high-impact analytics projects
involving diverse stakeholders over extended timeframes.
Demonstrate a strong ability to navigate ambiguity and excel in
environments with minimal oversight.
- Conduct effective and efficient ad-hoc analytics projects to
determine the impact of defined issues or initiatives using
existing tools or prototype new tools.
- Build and sustain various dashboards to identify and quantify
issues and metrics across the Tesla Energy fleet of products.
- Create visualizations and tools to provide insight, drive
action, and support engineering work throughout the business.
- Establish and document best practices for creating and
maintaining dashboards, ensuring alignment within the team and
across the organization.
- Influence product and cross-functional teams to identify data
opportunities to drive impact.What You'll Bring
- Degree in Computer Science, Engineering, Physics, or a related
quantitative field or equivalent experience.
- Experience with Tableau, Apache Superset, or other dashboarding
tools, preferably with certifications.
- Expert experience using SQL, Python, Tableau, Streamlit, and/or
equivalent data analytics technologies.
- Demonstrated experience leading complex, business-impacting
projects to completion.
- Experience using Jira, Git, Confluence, and other work
management tools.
- Strong planning, scheduling, and project management skills with
the ability to work independently and manage the tasks of other
project team members.
- Excellent written and verbal communication and presentation
skills, including high-level management reporting and
updates.Compensation and BenefitsAlong 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 with $0 payroll deduction.
- Family-building, fertility, adoption, and surrogacy
benefits.
- Dental (including orthodontic coverage) and vision plans, both
with a $0 paycheck contribution.
- Company Paid HSA Contribution when enrolled in the High
Deductible Aetna 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.
- Employee Assistance Program.
- 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, theft & legal services, and pet
insurance.
- Weight Loss and Tobacco Cessation Programs.
- Tesla Babies program.
- Commuter benefits.
- Employee discounts and perks program.Expected Compensation:
$108,000 - $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 is an Equal
Opportunity employer. All qualified applicants will receive
consideration for employment without regard to any factor,
including veteran status and disability status, 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 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.
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Keywords: Tesla, Inc., Palo Alto , Sr. Data Engineer, Engineering , Palo Alto, California
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