Sr. Big Data Engineer, Energy Service Engineering
$100k - $216kTesla
As a key member of our team, you will design, build, andmaintainlarge-scale data systems to combine data from various data sources, including deployed fleets, internal applications, and other data warehouses. You will developa state-of-the-artmonitoring and alerting layer to ensure system reliability and performance. Your work will contribute to our understanding of key business performance indicators, informing data-driven decisions tooptimizeour strategies and drive decision making for all our hardware products.
You will build efficient, reusable data components and implement both batch and streaming pipelines that power our systems. Working alongside ML engineers,you'llsupport feature engineering efforts and create the data infrastructure needed for successful model deployment. Your work will enable critical analyticsto trackour energy products throughout their lifecycle-from creation to deployment, usage, maintenance, and replacement. Collaborating with teams across Industrial Energy, Residential Energy, and Solar Product and Service Engineering,you'llhelpoptimizethe performance and reliability of our diverse energy product fleet.
This role requiresexpertisein streaming architectures, real-time data processing, and the ability to build modular, reusable components that can scale with our growing data needs. You will be at the forefront of implementing modern data engineering practices that enable rapid development and deployment of data solutions across the organization.
What You'll Do
- Design and implement robust, scalable solutions for processing terabyte-scale data
-
Develop andmaintainhigh-performance data pipelines using Apache Spark, Kafka, and other modern data technologies
Build andoptimizebatch and streaming data processing systems
Develop aggregate and summary tables for various engineering teams that span across multiple product lines and geographies
Design and develop new systems and tools to enable cross-functional teams to consume and understand data faster
Implement andmaintainCI/CD pipelines for data applications
Research and incorporate emerging data infrastructures, tools, and technologies
What You'll Bring
- Strong data engineering background withexpertisein at least two programming languages (Python, Scala, Java, or Rust)
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Expert-level experience with Apache Spark (PySpark, Spark SQL, Spark Streaming)
Experience with modern data lake technologies (Delta Lake, Apache Iceberg, Apache Hudi)
Experience with containerization and orchestration (Docker, Kubernetes)
Proficiencyin SQL and familiarity with database internals and performance concepts
Demonstrated experience working with terabyte-scale data processing
Compensation and Benefits Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
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.
$100k - $216k
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