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Data Engineer In Tesla Jobs (NOW HIRING)

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer - I The Data Engineer - I will be responsible for building and maintaining optimal ... Bachelor's degree in Information Systems, Computer Science, Computer Engineering, Statistics ...

Data Engineer

Arlington, VA

$131K - $158K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI adoption by building and optimizing a modern Hub-and-Spoke data architecture. Your responsibilities ...

Data Engineer

Manhattan, NY · Hybrid

$125K - $150K/yr

DCP supports the City Planning Commission in its annual review of hundreds of land use applications ... Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering ...

Data Engineer

Arlington, VA

$131K - $158K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI adoption by building and optimizing a modern Hub-and-Spoke data architecture. Your responsibilities ...

Data Engineer

Manhattan, NY · Hybrid

$125K - $150K/yr

DCP supports the City Planning Commission in its annual review of hundreds of land use applications ... Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering ...

Data Engineer

Manhattan, NY · On-site

$100K - $125K/yr

DCP supports the City Planning Commission in its annual review of hundreds of land use applications ... Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering ...

Data Engineer

Saint Louis, MO

$111K - $133K/yr

Support architects and engineers in designing and building scalable, secure, and agile data applications and platforms. * Design, develop, and optimize batch and real-time data pipelines using ...

... in Tesla's warehouse and production environments, ensuring smooth material flow and inventory ... and other data entry tools preferred * Positive, team-oriented attitude with a track record of ...

Data Engineer

Irvine, CA · On-site

$115K - $145K/yr

Job Summary EMCOR Mechanical Services has an opportunity for a Data Engineer in Irvine, CA . The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using ...

Interest in mentoring and developing less experienced engineers * Professional data engineering experience (8+ years desired) * Must be legally authorized to work in the United States * Must not ...

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Responsibilities To perform in this position successfully, an individual must be able to perform ...

This role will be instrumental in shaping and driving our data engineering roadmap, ensuring scalability, performance, and innovation. The ideal candidate combines deep technical expertise with ...

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Interest in mentoring and developing less experienced engineers * Professional data engineering experience (8+ years desired) * Must be legally authorized to work in the United States * Must not ...

Data Engineer

New York, NY · On-site

$105K - $145K/yr

Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices. Who You Are * Experienced Data Engineer: 2+ years of experience working with ...

Senior Data Engineer - Markit EDM

Boston, MA · On-site +1

$115K - $156K/yr

One of our clients is looking for Senior Data Engineer in Boston, MA or Remote . If you fulfil these requirements and are interested in this position, please send your most updated resume to the ...

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices. Who You Are * Experienced Data Engineer: 2+ years of experience working with ...

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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

$118K - $141K/yr

Other

Posted 19 days ago


Job description

Data Engineer - I

The Data Engineer - I will be responsible for building and maintaining optimal data pipeline and reporting architecture for the next generation Data Warehouse, reporting, and data analytics environment. The individual will be a part of a team responsible for building, managing and monitoring all data transformation and data load into the Data Lake hosted on AWS. Key Responsibilities

  • Identify, design, and implement data process improvements by: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources using SQL and AWS 'big data' technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with internal stakeholders, including executives, to assist with data-related technical issues and support their data needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Assist in developing data model architecture for the next generation management reporting system.
  • Ongoing maintenance of the data warehouse and reporting infrastructure.

Minimum Qualifications

  • Bachelor's degree in Information Systems, Computer Science, Computer Engineering, Statistics, Mathematics or related areas.
  • One or more Industry certifications; AWS Developer Associate, Certified Big Data Specialty, Tableau Desktop Certified Associate, Certified Associate in Python programing (PCAP), Apache Spark certification will be given preference.
  • 1-2 years of programming in the field of data engineering, analytics, data visualization, SQL and related technologies

Key skills, knowledge & experience Deep understanding and experience in the following technologies and programming environment:

  • Apache Spark and PySpark, Hadoop
  • SQL and any NoSQL and RDBMS platforms
  • Python, R, Java, JavaScript PL/SQL, XML, XSLT
  • GitHub or similar shared code repository
  • Tableau
  • AWS cloud services
  • DevOps practices

Optional skills, knowledge & experience Individuals with skills, knowledge and experience in the following applications and services will be given special consideration:

  • Salesforce CRM
  • Workday HRM and ERP system
  • Seismic content management
  • Google AdWords, Google Analytics, Google Tag Manager
  • Self-motivated problem solver who has worked on building data transformation process to support business intelligence applications in a large environment will be given preference.
  • Excellent organization skills, diagnostics and problem-solving abilities as well as strong written and verbal communication skills.
  • Energetic, able to clearly communicate ideas and deliver results

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014