ZipRecruiter

Log In

1

Data Engineer In Tesla Jobs (NOW HIRING)

Tesla

Data Engineer, Field Reliability

Fremont, CA · On-site

$125K - $151K/yr

Tesla is looking for a skilled Data Engineer to join their Field Reliability Data Team, focusing on ... in resume will be given priority in screening Company : Tesla is an electric vehicle and clean ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... In this role you will: * Design and manage database architecture and data models * Build and ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We've been helping companies build great software products since 1988 in a wide range ...

Tesla

Camera Software Engineer, Tesla AI

Palo Alto, CA

$140K - $360K/yr

... hardware-in-the-loop testing, and fleet scale data insights * Define technical requirements and ... Tesla Babies program * Commuter benefits * Employee discounts and perks program Expected ...

Apton inc

Big Data Engineer/Cloud Data Engineer

Richmond, VA · On-site

$55.25 - $73/hr

Big Data Engineer/Cloud Data Engineer in Richmond, VA Qualifications * 9+ years of experience in software development including design, coding and testing * Must have hands on experience with Java ...

Newt Global

PySpark Data Engineer (Full Time)

Irving, TX

$109K - $132K/yr

Experience as a big data engineer. * In-depth knowledge of Hadoop, Pyspark, Python, SQL and similar frameworks. * Good in ETL / ELT tools. * Good in AWS Glue , Snowflake. * Good in DevOps CI/CD ...

WinWire Technologies

Data Engineer

Santa Clara, CA · On-site

$210K - $230K/yr

WinWire Technologies seeks Data Engineer in Santa Clara, CA & various unanticipated locations in U.S.: Create/ Modify Azure Data Factory solution. Extract data from SAP & integrate it w/ non-SAP data ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Data Engineer in Herndon, Virginia . As a Data Engineer, you are ...

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA

$134K - $161K/yr

Python , Data Engineering Nice to have : Docker , Kuebernetes Looking for experienced Python engineers with a background in data engineering. Should be familiar with modern data platforms like Apache ...

Prophecy Technologies

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Mentor and guide junior data engineers in best practices and technical execution. * Troubleshoot and resolve data workflow issues and performance bottlenecks. Required Skills * Extensive experience ...

Tesla

Sr. Data Analyst, Machine Learning

Fremont, CA · On-site

$94K - $119K/yr

Responsibilities : • Co-design AI applications with the Data Engineering team, defining model ... in supply chain, manufacturing, or procurement analytics is a plus Company : Tesla is an electric ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Data Engineer in Herndon, Virginia . Responsibilities As a Data Engineer ...

next page

Showing results 1-20

All JobsData Engineer In Tesla Jobs

Data Engineer In Tesla information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer in tesla jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data engineer in tesla in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

Is a data engineer a well paid job?

Data engineers typically earn competitive salaries due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role in the tech sector.

How does a Data Engineer at Tesla typically collaborate with other teams, such as software developers and data scientists?

At Tesla, Data Engineers work closely with software developers, data scientists, and product teams to design, build, and optimize data pipelines that support business-critical applications. Collaboration often involves understanding data requirements, troubleshooting data flow issues, and ensuring data quality for analytics and machine learning projects. Regular cross-functional meetings and agile project management practices are common, making strong communication skills important. This collaborative environment helps Data Engineers contribute directly to innovative projects and product improvements at Tesla.

What are the key skills and qualifications needed to thrive as a Data Engineer at Tesla, and why are they important?

To thrive as a Data Engineer at Tesla, you need strong programming skills (especially in Python or Scala), expertise in data modeling, ETL processes, and a solid understanding of database systems—often supported by a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, AWS, and proficiency with SQL and NoSQL databases are essential, and certifications in cloud technologies are highly valued. Problem-solving abilities, attention to detail, and effective communication are crucial soft skills for this role. These skills ensure that large-scale, reliable data pipelines are built and maintained, supporting Tesla's data-driven decision-making and innovation.

What is the difference between Data Engineer In Tesla vs Data Scientist In Tesla?

AspectData Engineer In TeslaData Scientist In Tesla
Required CredentialsBachelor's in CS, Engineering, or related; SQL, Python, SparkBachelor's/Master's in CS, Statistics, or related; Python, R, SQL
Work EnvironmentData pipelines, infrastructure, database managementData analysis, modeling, predictive analytics
Industry UsageBuilding data systems for Tesla's operationsAnalyzing data to inform business decisions

While both roles work with data, Data Engineers in Tesla focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights. Both roles require strong technical skills and are integral to Tesla's data-driven approach.

How much do Tesla data engineers make?

Tesla data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. They often work with big data tools like Spark and Hadoop and may require knowledge of cloud platforms and programming languages such as Python or SQL.

What does a Data Engineer do at Tesla?

A Data Engineer at Tesla is responsible for designing, building, and maintaining data pipelines and infrastructure that support the company’s operations and analytics. They work with large volumes of data generated by Tesla’s vehicles, manufacturing processes, and business systems, ensuring data is collected, processed, and made available for analysis. Data Engineers collaborate with software engineers, data scientists, and business stakeholders to deliver reliable and scalable data solutions that drive decision-making and innovation at Tesla.

Is it difficult to get hired at Tesla?

Getting hired as a Data Engineer at Tesla can be competitive, requiring strong technical skills in data processing, programming, and cloud platforms, along with relevant experience. The hiring process often involves multiple interviews, technical assessments, and demonstrating problem-solving abilities. Candidates with a solid educational background and familiarity with tools like Python, SQL, and big data technologies tend to have better prospects.

How much do engineers at Tesla get paid?

Data engineers at Tesla typically earn between $80,000 and $130,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with senior roles earning higher salaries. Skills in data pipelines, cloud platforms, and programming are often required for these roles.
Data Engineer, Field Reliability

Data Engineer, Field Reliability

Tesla

Fremont, CA • On-site

$125K - $151K/yr

Full-time

Posted 3 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 664 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is looking for a skilled Data Engineer to join their Field Reliability Data Team, focusing on enhancing the handling of millions of repair records from service and vehicle fleet data. The role involves designing and maintaining scalable data pipeline architecture, collaborating with stakeholders, and developing data pipelines for analytics teams.
Responsibilities:
• Design and maintain scalable data pipeline architecture, while advancing the automation and standardization of our ETL processes
• Identify, design, and implement process improvements: automating manual processes, optimizing queries, re-designing infrastructure for greater scalability
• Collaborate with stakeholders, including IT Business Intelligence team, to resolve data-related technical issues and support ETL infrastructure needs
• Develop data pipelines that enable analytics teams to build and refine KPI metric dashboards
• Build visualizations using tools like Tableau and Streamlit to communicate insights
• Build robust, flexible and automated software tools to complex fleet data analysis, enabling proactive monitoring of fleet behavior to improve field quality and customer experience
Qualifications:
Required:
• Bachelor’s degree or higher in quantitative discipline (e.g. Computer Science, Statistics, Informatics, Information Systems, Data Analytics & Engineering), or equivalent experience with evidence of exceptional ability.
• 2+ years of work experience in data engineering related field
• Advanced SQL knowledge and hands-on experience working with relational databases, plus familiarity with various database engines
• Advanced knowledge of Python with Pandas
• Experience with quick web application development (e.g., Flask, Streamlit)
• Exposure to AI/ML frameworks (e.g., TensorFlow, PyTorch) and LLMs for text mining/NLP tasks (via libraries like Hugging Face Transformers or LangChain)
• Working knowledge of big data tools (Spark/PySpark, Presto, Kafka)
• Experience with data visualization techniques (e.g., Tableau, Matplotlib)
• Experience developing predictive models on time-series data
• Strong collaboration skills, with excellent interpersonal and communication skills to work effectively with stakeholders
Preferred:
• Candidates with a GitHub profile or personal project portfolio in resume will be given priority in screening
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Tesla employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply