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Automotive Data Engineer Jobs in Raleigh, NC (NOW HIRING)

... and automotive. Title: AI Lead Location: Raleigh, NC The AI Lead will own the AI Solutions ... Partner with the IS Lead and Data Engineer to assess data readiness, define required data products ...

Associate's degree in information systems, business administration, programming, or equivalent work ... The work frequently requires activities involving driving automotive equipment. EFFECTIVE DATE: 4 ...

... data center, mobile, RF, networking, industrial, business equipment, and automotive. Position Summary: Development Engineer Location: Raleigh, NC Amphenol Communications Solutions (ACS), a division ...

Experience scoping telemetry with engineering teams and building the ETL and data models on top of ... automotive, and architectural design. As we continue to build our Engine technology and develop ...

Controls Engineer

Durham, NC · On-site

$80K - $104K/yr

... automotive powering a high-technology future. Vulcan Elements is building a team of ambitious ... Design and implement SCADA systems, historian databases, dashboards, alarming strategies, and data ...

Manufacturing Engineer

Timberlake, NC · On-site

$46K - $59K/yr

Analyze production data and develop reports to support decision-making. * Support ERP transactions ... Experience supporting production environments (wire harness, electrical assembly, automotive, or ...

Manufacturing Engineer

Timberlake, NC

$46K - $59K/yr

Analyze production data and develop reports to support decision-making. * Support ERP transactions ... Experience supporting production environments (wire harness, electrical assembly, automotive, or ...

... automotive, SaaS operations, or similar). * Strong SQL and data analysis skills on large telemetry ... The NOC Engineer is the trusted voice of "what the network data says" in quality decisions and ...

NOC Engineer

Raleigh, NC · On-site

$80/hr

... automotive, SaaS operations, or similar). * Strong SQL and data analysis skills on large telemetry ... The NOC Engineer is the trusted voice of "what the network data says" in quality decisions and ...

NOC Engineer

Raleigh, NC · On-site

$80/hr

... automotive, SaaS operations, or similar). * Strong SQL and data analysis skills on large telemetry ... The NOC Engineer is the trusted voice of "what the network data says" in quality decisions and ...

Manufacturing Engineer

Morrisville, NC

$68K - $87K/yr

Anduril's Manufacturing team is seeking a Manufacturing Engineer to join our team to support ... data PREFERRED QUALIFICATIONS * Experience supporting aerospace, defense, automotive, and/or ...

Reliability Engineer

Raleigh, NC · On-site

$99K - $125K/yr

... storage, data center, mobile, RF, networking, industrial, business equipment, and automotive. Position : Reliability Engineer Location : Raleigh, NC RESPONSIBILITIES : Test, Validation ...

Quality Engineer

Raleigh, NC · On-site

$70K - $90K/yr

... data center, mobile, RF, networking, industrial, business equipment, and automotive. Position: Quality Engineer Location: Raleigh, NC Amphenol High Speed Products Group is the market leader for high ...

PLM Data Migration Architect

Raleigh, NC · On-site

$62 - $79.75/hr

... Automotive, Aerospace & Defense, or High-Tech • Experience supporting US-based clients in large ... Overview The Infosys Engineering unit is dedicated to amplifying product-centric value delivery ...

The company's products power a wide range of automotive and industrial systems, built with a ... Provide technical input to catalog, data, and marketing teams (e.g., specifications, connector ...

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Automotive Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do automotive data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for automotive data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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 key skills and qualifications are needed to thrive as an Automotive Data Engineer, and why are they important?

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 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 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 are popular job titles related to Automotive Data Engineer jobs in Raleigh, NC? For Automotive Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Automotive Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Automotive Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Automotive Data Engineer jobs? Cities near Raleigh, NC with the most Automotive Data Engineer job openings:
AI Lead

AI Lead

Amphenol TCS

Raleigh, NC • On-site

Full-time

Re-posted 10 days ago


Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.


Title: AI Lead

Location: Raleigh, NC

The AI Lead will own the AI Solutions & Automation pillar of the CBS Digital Transformation & AI Enablement organization. This role is responsible for translating high-value business opportunities into practical, scalable AI solutions, intelligent automation, copilots, agents, and workflow-enabled capabilities across engineering, operations, quality, supply chain, finance, and commercial functions.

The AI Lead will partner closely with the Information Systems Lead, Transformation PMO, corporate IT/security, implementation partners, and Federated Center of Excellence functional champions. The role is focused on AI solution strategy, solution design, automation enablement, governance, deployment, adoption, and value realization. Data platform architecture, source-system onboarding, and core data pipelines will be owned by the IS/Data team, with the AI Lead responsible for ensuring AI solutions are built on trusted, governed, and reusable data assets.

RESPONSIBILITIES:

  • Lead the CBS AI Solutions & Automation roadmap, including practical AI use cases, copilots, agents, intelligent applications, and workflow-enabled business solutions.
  • Partner with the Transformation PMO and Federated Center of Excellence to define, prioritize, and manage the AI/automation use-case pipeline based on business value, feasibility, data readiness, adoption risk, and governance requirements.
  • Translate business problems into scalable AI solution concepts, including requirements, solution patterns, success measures, adoption approach, and sustainment expectations.
  • Lead the design and deployment of AI-enabled solutions such as knowledge assistants, engineering productivity tools, document summarization, classification, risk summaries, anomaly detection support, and agentic workflows.
  • Partner with the IS Lead and Data Engineer to assess data readiness, define required data products, and ensure AI solutions are connected to trusted, governed, and secure data sources.
  • Define reusable AI solution patterns, prompt/agent design standards, solution templates, documentation practices, and deployment playbooks to avoid one-off experimentation.
  • Evaluate and guide the use of approved AI and automation platforms such as ChatGPT Enterprise, Microsoft Copilot, Claude Code, Azure AI, Microsoft Fabric, Databricks AI, Power Platform, and related tools.
  • Partner with corporate IT, cybersecurity, legal/compliance, and data owners to establish responsible AI guardrails, IP protection, access controls, model usage standards, and approval processes.
  • Lead or coordinate external partners and vendors supporting AI solution design, automation delivery, AI governance, and technical implementation workstreams.
  • Support pilots, user testing, training, deployment, and adoption in partnership with functional leaders, the Transformation PMO, and Federated Center of Excellence champions.
  • Track adoption, utilization, productivity impact, and business value of deployed AI solutions in partnership with the Transformation PMO and Finance.
  • Build capability within the organization by coaching business users, functional champions, and technical team members on effective and responsible AI usage.
  • Travel as required to support global operations, deployment activities, and business transformation initiatives.
  • Perform other duties and responsibilities as required to support the growth and success of the business.

QUALIFICATIONS:

  • BS in Information Systems, Computer Science, Engineering, Data Science, Business Analytics, or related field; advanced degree preferred but not required.
  • 7-10+ years of experience in digital transformation, applied AI, automation, analytics, enterprise systems, or technology-enabled business transformation, preferably within a manufacturing or engineering environment.
  • Demonstrated experience translating business problems into practical AI, automation, analytics, or digital solutions that are deployed into real workflows.
  • Working knowledge of generative AI, large language models, copilots, agents, prompt/agent design, retrieval augmented generation (RAG), enterprise search, document intelligence, model evaluation, and AI governance concepts.
  • Experience with one or more platforms such as Azure AI, ChatGPT Enterprise, Microsoft Copilot, Claude, Microsoft Fabric, Databricks, Power Platform, Logic Apps, or comparable enterprise AI/automation technologies.
  • Strong understanding of data readiness, data governance, secure access, and the dependency of AI solutions on trusted data foundations.
  • Experience with workflow automation, API-enabled solutions, low-code/no-code platforms, or business-process automation strongly preferred.
  • Strong business process orientation, with the ability to understand engineering, operations, quality, supply chain, finance, and commercial workflows.
  • Experience developing governance, adoption, training, and value-tracking practices for new digital capabilities.
  • Strong leadership, communication, stakeholder management, and change-management skills with the ability to influence across functions without direct authority.
  • Experience managing implementation partners, vendors, and cross-functional technical teams preferred.
  • Travel required as needed to support global sites and deployment activities.

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/


Amphenol TCS logo

About Amphenol TCS

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Nashua, NH, US

Year founded

1968