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Automotive Data Engineer Jobs in New York (NOW HIRING)

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Data Analyst - Automotive Mission Are you passionate about transforming complex data into ... If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering ...

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Data Analyst - Automotive Mission Are you passionate about transforming complex data into ... If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering ...

Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation ... Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims ...

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 ...

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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:

Data Analyst - Automotive

New York, NY • Remote

$100K - $120K/yr

Full-time

Posted 18 days ago


Job description

Data Analyst - Automotive


Mission


Are you passionate about transforming complex data into meaningful insights? Do you enjoy building automated solutions, creating impactful dashboards, and solving real business challenges? If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer.


What You'll Do


In this role, you'll be at the heart of data-driven decision-making, working closely with engineering, management, and digital teams to unlock the value of operational data. You'll identify opportunities for improvement, automate data processes, and develop innovative solutions that help teams perform at their best.


Key Responsibilities


Design and develop engaging Tableau dashboards that turn data into actionable insights.

Extract, clean, transform, and model data from multiple sources.

Automate data extraction and transformation processes to improve efficiency.

Build and maintain Power Apps and Power Automate solutions to close business process gaps.

Collaborate with stakeholders across Manufacturing Engineering and Digital teams to understand business needs and deliver impactful solutions.

Drive continuous improvement through data-led decision making.

Profile


Strong experience creating dashboards and reporting solutions using Tableau.


Experience with Google Cloud Platform (GCP).


SQL expertise with proven data extraction and transformation experience.


Knowledge of data modelling and relational databases.

Experience automating data processes and workflows.

Power Apps and Power Automate development experience.

Excellent communication, stakeholder management, and problem-solving skills.


Bonus Points For


Python development skills.

Relevant Data Engineering, Data Analytics, or STEM qualifications.

Why Join Us?


This is an opportunity to make a visible impact in a business that values innovation, collaboration, and continuous improvement. You'll work with cutting-edge technologies, influence key business decisions, and help shape the future of data-driven manufacturing.