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Automotive Data Engineer Jobs in New York (NOW HIRING)

About KX KX software powers the time-aware data-driven decisions that enable fast-moving companies ... automotive and fleet telematics organizations. The company has established offices and a robust ...

About KX KX software powers the time-aware data-driven decisions that enable fast-moving companies ... automotive and fleet telematics organizations. The company has established offices and a robust ...

... Automotive. Note: We are currently recruiting for multiple positions, however please only apply for ... Working at the intersection of data science and software engineering, you translate R&D and project ...

Quality Engineer

Northvale, NJ · On-site

$50 - $65/hr

Contract/Temporary MUST COME FROM AUTOMOTIVE Our client is seeking an experienced Quality Engineer ... Analyze quality data, prepare reports, and provide recommendations for process improvements

Quality Engineer

Northvale, NJ · On-site

$50 - $65/hr

Contract/Temporary MUST COME FROM AUTOMOTIVE Our client is seeking an experienced Quality Engineer ... Analyze quality data, prepare reports, and provide recommendations for process improvements

Controls Engineer

Queens, NY · Hybrid

$105K - $130K/yr

Architect data acquisition pipelines: signal conditioning, timestamped logging, and structured ... Familiarity with automotive sensor products, such as battery current sensors, steering angle ...

Quality Engineer

Northvale, NJ · On-site

$73K - $95K/yr

To be considered, must have a background in automotive manufacturing. This is for a 12 month ... Prepares reports by collecting, analyzing, and summarizing data; and making recommendations.

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Automotive Data Engineer information

What is an automotive data engineer?

An Automotive Data Engineer is a professional who designs, develops, and manages systems for collecting, processing, and analyzing data generated by vehicles and automotive systems. They work with large datasets from sources such as sensors, telematics, and onboard diagnostics to improve vehicle performance, safety, and efficiency. Their role often involves collaborating with software developers, data scientists, and automotive engineers to build data-driven solutions for connected and autonomous vehicles.

What key skills and qualifications are needed to thrive as an automotive data engineer?

To thrive as an Automotive Data Engineer, you need expertise in data analytics, programming (often Python or SQL), and a strong understanding of automotive systems, typically supported by a degree in computer science, engineering, or a related field. Familiarity with big data platforms (like Hadoop or Spark), automotive communication protocols (such as CAN or LIN), and certifications in data engineering or cloud technologies are highly valued. Strong problem-solving abilities, teamwork, and effective communication help distinguish top performers in this role. These skills are crucial for developing reliable data-driven solutions that enhance vehicle performance, safety, and innovation in a rapidly evolving automotive industry.

What are some common challenges automotive data engineers face when working with vehicle data?

Automotive Data Engineers often encounter challenges related to the sheer volume and complexity of data generated by modern vehicles, including sensor, telematics, and diagnostic information. Integrating data from various sources and ensuring its quality, consistency, and security can be demanding. Additionally, collaborating with cross-functional teams—such as software developers, data scientists, and automotive engineers—requires strong communication skills to align technical requirements and project goals. Adapting to evolving automotive technologies and compliance standards is also crucial for success in this role.

What is the difference between Automotive Data Engineer vs Data Scientist in the automotive industry?

AspectAutomotive Data EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; experience with SQL, Python, big data toolsBachelor's or Master's in Data Science, Statistics, or related; proficiency in Python, R, machine learning
Work EnvironmentAutomotive companies, tech firms, data infrastructure teamsResearch labs, automotive R&D, analytics teams
Employer & Industry UsageFocus on building data pipelines, managing data infrastructure in automotive settingsFocus on analyzing data, creating models for vehicle performance, customer insights

Automotive Data Engineers primarily develop and maintain data infrastructure within the automotive industry, ensuring data flows efficiently. Data Scientists analyze this data to generate insights and predictive models. Both roles often collaborate but focus on different aspects of data management and analysis.

What are popular job titles related to Automotive Data Engineer jobs in New York?

For Automotive Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Automotive Data Engineer jobs in New York look for?

The top searched job categories for Automotive Data Engineer jobs in New York are:

What cities in New York are hiring for Automotive Data Engineer jobs?

Cities in New York with the most Automotive Data Engineer job openings:

Director, Automotive Data Product Manager - Pricing Solutions -

S&P Global

New York, NY • On-site

$160K - $200K/yr

Full-time

Re-posted 4 days ago


S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Director, Data Product Manager - Pricing Solutions - Mobility
Summary:

Automotive OEMs, national sales companies, and their dealers depend on our market data to gauge their success and benchmark against competitors. Our automotive industry performance solutions allow clients to understand selling patterns, identify key trends, find hidden opportunities, and boost revenue for new and used car sales and services.

We are seeking a professional with experience in defining and scaling analytical data solutions for the automotive industry specifically for real-time incentives, pricing, inventory, and scenario planning. The candidate should be an energetic and forward-thinking leader that can identify key business problems and develop innovative solutions that exceed customer expectations. A strong executive presence with customers and internal stakeholders, collaborative skills, and the ability to develop a road map for data product enhancements is a must. The ideal candidate will be able to assess customer needs, develop a strategic product roadmap, and work cross functionally to drive action plans to implement the vision into industry leading solutions. This is an exciting opportunity to work with industry leaders to innovate the way automotive OEMs use market performance information to drive sales strategies.

If you like wild growth and working with happy, enthusiastic overachievers, you will enjoy your career with us!

Key Responsibilities

Own the end-to-end data product lifecycle - defining strategy, outcomes, and roadmap; validating with customers; and partnering across Product, Engineering, Data Science, Sales, Marketing, and Customer Success to bring data product to market at scale. Near-term focus includes landing early wins and aligning deliverables to roadmap milestones targeting readiness in 2026.

Specifically:

  • Collaborate with User Interface Product Managers to integrate data products into key customer-facing products.

  • Own the multi-quarter roadmap, including MVP scope and post-MVP enhancements.

  • Ensure product strategy and roadmap align with business goals into measurable product outcomes and prioritize features accordingly.

  • Support Voice of Customer (VoC) activities with target personas to validate use cases and value propositions.

  • Translate user stories, success metrics, and acceptance criteria into data product requirements, collaborating with Data Science and Product Development.

  • Represent data product and analytics during cross-functional go-to-market strategy development and execution including product definition and training sessions.

  • Establish data QA/QC requirements to understand data and modeling accuracy.

Qualifications

  • Bachelor's degree in business, economics, marketing, engineering, or related quantitative field. Equivalent relevant industry experience will be considered in lieu of formal training.

  • 7-12+ years in data analytics, product management, or pricing/incentives strategy, preferably in automotive or mobility.

  • Experience implementing AI technologies into the product space.

  • Experience setting requirements for highly complex Data Science, Analytics, Scenario Planning

  • Proven ability to own end-to-end data delivery and communicate complex analytics to executive stakeholders.

  • Strong skills in roadmap planning, requirements definition, and stakeholder alignment.

  • Direct exposure to incentive planning, OEM sales operations, or financial planning roles.

  • History of successful executive-level presentations at OEMs and internal leadership forums.

About S&P Global Mobility: S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company.

Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $160,000 -$200,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits that we provide to our employees, please click here.

Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.


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