Luigi Data Jobs

1 job found

1mo ago

Sr. Data Engineer, Energy, Sales, & Services

Tesla Fremont, CA

Fremont, CA

1mo ago Closed

$120k - $216k/yr Full time Senior Analytics Apache Airflow

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

What Tesla offers

Medical plans with multiple options and no employee contribution required
Benefits for family-building, fertility, adoption, and surrogacy
Dental (including orthodontics) and vision plans with options that require no payroll deduction
Employer Health Savings Account contributions when enrolled in a high deductible plan with HSA
Healthcare and Dependent Care FSAs
401(k) with company match and Employee Stock Purchase Plan plus other financial benefits
Company-paid Basic Life and AD&D coverage
Short-term and long-term disability insurance with a 90 day waiting period
Employee Assistance Program
Sick and vacation time, with flex time for salaried roles and accrued hours for hourly roles, plus paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Compensation

Salary range of $120,000 to $216,000 per year, plus cash and stock awards and benefits. The final offer may vary based on location, experience, and qualifications, and the overall package may include other elements. Details are provided with an employment offer.

What to expect in this role

We are seeking a technically exceptional, business‑driven data engineer who operates at the crossroads of data innovation and clean energy impact. If using data to advance renewable energy, especially solar and energy storage, motivates you, this is the role to help build the intelligent infrastructure that powers a sustainable future.

As a Senior Data Engineer, you will connect state‑of‑the‑art data infrastructure with solar and storage initiatives. You will turn data into a strategic asset that optimizes generation, storage, distribution, and grid reliability, driving sustainability outcomes.

You will design and implement scalable data pipelines to process both real‑time and historical data, manage complex datasets, and collaborate with business stakeholders, energy analysts, and operations teams. Your work will enable automation, innovation, and data‑driven decisions across the energy business.

Responsibilities

Design and deploy automated data solutions for teams across sales, operations, fulfillment, inventory, fleet, service, finance, and accounting
Own ideas from design through production, partnering with stakeholders and cross‑functional teams
Develop, manage, and optimize high‑performance ETL pipelines that turn complex datasets into clean, reliable information
Build and refine dimensional data models, such as star schemas, to enable robust reporting and analytics
Write and optimize scripts, processes, and jobs to streamline data operations and remove bottlenecks
Explore new tools, frameworks, and real‑time processing technologies to keep the data platform current
Champion best practices in coding, documentation, and technical quality
Ensure data quality, accuracy, and availability through validation, monitoring, and governance processes

Requirements

Strong SQL expertise and hands‑on experience with relational databases such as SQL Server, MySQL, Vertica, and others
Experience integrating and consuming APIs
Ability to leverage AI tooling as part of solution development
Practical experience with data warehousing and dimensional modeling for large‑scale systems
Proficiency in Python programming
Familiarity with distributed systems (Kafka, Spark, Iceberg) and NoSQL/document stores (MongoDB)
Know-how with ETL orchestration tools (Airflow, Luigi) and visualization platforms (Power BI, Tableau, Looker, SSRS)
Excellent communication skills to translate complex data solutions into business value
Background in energy solar and storage is a plus, but curiosity and a problem‑solving mindset matter most

Technologies

SQL
SQL Server
MySQL
Vertica
APIs
Python
Kafka
Spark
Iceberg
MongoDB
Airflow
Luigi
Power BI
Tableau
Looker
SSRS

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