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

Partner with the IS Lead and Data Engineer to consume trusted data sources, APIs, lakehouse outputs, dashboards, and system events required to trigger or support automations. * Partner with the ...

In this role, you will operate at the intersection of data engineering, AI, and business strategy ... You will lead a virtual team of Data Product Owners, serve as a strategic advisor to senior ...

Data Engineer //Local to NC

Raleigh, NC · On-site

$111K - $133K/yr

NCDPI - Data Engineer - Senior (806834)Client: State of North Carolina301 N. Wilmington St, Raleigh ... lead to load failures or data backouts.Collaboration: Work closely with business owners, data ...

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

The role is a technical peer to the Lead Data Engineer and provides succession depth for senior data science work.***This is a hybrid position located in Durham, NC, with the expectation of regular ...

Data Engineering Lead- Finance

Raleigh, NC

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

You will bring deep Snowflake expertise and strong engineering instincts to own production data pipelines, lead client implementations, and help us evolve our data architecture to support event ...

Hands on experience as a lead data scientist, AI/ML engineer, data engineer or solution architect delivering production solutions. * Strong understanding of ML methods, statistics, model validation ...

Hands on experience as a lead data scientist, AI/ML engineer, data engineer or solution architect delivering production solutions. * Strong understanding of ML methods, statistics, model validation ...

Senior Data Engineer #4885

Durham, NC

$102K - $139K/yr

You will architect and lead the development of complex, business-critical ingestion and ... This is a hands-on senior role for a fully qualified data engineer who is ready to take ownership ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

You will architect and lead the development of complex, business-critical ingestion and ... This is a hands-on senior role for a fully qualified data engineer who is ready to take ownership ...

Senior Data Engineer #4885

Durham, NC

$102K - $139K/yr

You will architect and lead the development of complex, business-critical ingestion and ... This is a hands-on senior role for a fully qualified data engineer who is ready to take ownership ...

Senior Data Engineer #4885

Durham, NC · On-site

$96K - $130K/yr

You will architect and lead the development of complex, business-critical ingestion and ... This is a hands-on senior role for a fully qualified data engineer who is ready to take ownership ...

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Lead technical coordinationwithin a global delivery model, ensuring consistency and quality of ETL ... data engineering roles delivering enterprise-scale analytics solutions * 5 years of Cloud ...

Showing results 41-60

Lead Data Engineer information

See Raleigh, NC salary details

$41.3K

$120.3K

$175.5K

How much do lead data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for lead data engineer in Raleigh, NC is $120,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $131,200.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are the most commonly searched types of Lead Data Engineer jobs in Raleigh, NC?

The most popular types of Lead Data Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Lead Data Engineer jobs?

Cities near Raleigh, NC with the most Lead Data Engineer job openings:

Infographic showing various Lead Data Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,329 per year, or $57.9 per hour.

Automation Engineer

Amphenol TCS

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


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: Automation Engineer

Location: Raleigh, NC

The Automation Engineer will support the AI Solutions & Automation pillar by designing, building, and maintaining workflow automations, system-connected business processes, alerts, task routing, and AI-enabled process automations across CBS. This role is focused on digital business-process automation, not ownership of industrial equipment controls or core data platform architecture.

The Automation Engineer will work closely with the AI Lead, AI Solutions Architect, Transformation PMO, Information Systems Lead, Data Engineer, Business Analyst, functional leaders, and Federated Center of Excellence champions. The role will convert high-value manual workflows into reliable, monitored, supportable automation solutions using approved enterprise tools, APIs, data sources, and governance standards.

RESPONSIBILITIES:

  • Design, build, test, deploy, and maintain workflow automations that reduce manual handoffs, spreadsheet dependency, duplicate data entry, and email-driven coordination.
  • Develop business-process automations across functions such as engineering, NPI, operations, quality, supply chain, finance, and commercial teams.
  • Build automations using approved platforms such as Microsoft Power Automate, Power Apps, Logic Apps, Dataverse, SharePoint, Teams, APIs, scripts, and related enterprise automation tools.
  • Partner with the AI Lead and AI Solutions Architect to connect AI outputs, agents, copilots, summaries, classifications, and recommendations into governed business workflows where appropriate.
  • Partner with the IS Lead and Data Engineer to consume trusted data sources, APIs, lakehouse outputs, dashboards, and system events required to trigger or support automations.
  • Partner with the Business Analyst, Transformation PMO, and functional stakeholders to map current-state processes, identify automation opportunities, define requirements, and validate future-state workflows.
  • Develop reusable workflow patterns, approval flows, exception alerts, escalation logic, task routing, automated reporting distribution, and notification frameworks.
  • Implement logging, error handling, exception management, monitoring, documentation, and sustainment practices for production automations.
  • Ensure automations comply with security, access control, data governance, responsible AI, and change-management requirements.
  • Support pilot deployment, user acceptance testing, training, adoption, feedback collection, and post-launch improvements in partnership with functional champions.
  • Troubleshoot workflow failures, integration issues, permissions errors, source-system changes, and automation performance problems.
  • Evaluate opportunities to use low-code/no-code, scripting, APIs, robotic process automation, or AI-enabled workflow orchestration based on business value, reliability, maintainability, and governance needs.
  • Support implementation partners and vendors where external support is required for automation design, build, integration, or scale-up.
  • Travel as required to support global operations and deployment activities.
  • Perform other duties and responsibilities as required to support the growth and success of the business.

QUALIFICATIONS:

  • BS in Information Systems, Computer Science, Engineering, Business Analytics, Automation, or related field; equivalent practical experience will be considered.
  • 3-7+ years of experience building workflow automations, business-process automations, integrations, low-code/no-code applications, or API-connected digital solutions.
  • Experience with Microsoft Power Platform, Power Automate, Power Apps, Dataverse, SharePoint, Teams, Azure Logic Apps, Azure Functions, or comparable workflow automation platforms.
  • Working knowledge of APIs, connectors, webhooks, data triggers, scheduled workflows, approvals, notifications, and exception-handling patterns.
  • Experience with SQL basics and scripting languages such as Python, JavaScript, or PowerShell preferred.
  • Ability to map business processes, identify automation opportunities, define workflow requirements, and translate business needs into reliable technical solutions.
  • Familiarity with enterprise systems such as ERP, MES, PLM, QMS, Microsoft 365, and cloud data platforms preferred.
  • Familiarity with AI-enabled workflows, agents, copilots, document processing, or intelligent automation concepts preferred.
  • Experience with security, permissions, access control, documentation, testing, monitoring, and sustainment of production workflows.
  • Manufacturing, engineering, operations, quality, or supply chain process experience strongly preferred.
  • Strong communication, troubleshooting, stakeholder management, and continuous improvement skills.
  • Ability to work across business functions, technical teams, and external implementation partners.
  • Travel required as needed to support global sites and automation 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