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Manager Data Engineering Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN; Boston, MA (Newton); New York, NY; Remote in approved locations Salary: This role can be hired for at either the Data Engineer ...

Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ... Manage project-based work cycles (8-24 weeks) with clear start and end points * Ensure completed ...

Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ... Manage project-based work cycles (8-24 weeks) with clear start and end points * Ensure completed ...

... engineering discipline. Security & Compliance Strong understanding of data privacy, security, and regulatory requirements in healthcare environments. Experience with secrets management, audit ...

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Speak with your direct manager to discuss your interest and alignment with your development goals ... programming, database User Acceptance Testing (UAT), database deployment to research sites, data ...

Speak with your direct manager to discuss your interest and alignment with your development goals ... programming, database User Acceptance Testing (UAT), database deployment to research sites, data ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Working closely with senior data engineering leadership, data architecture, analytics engineering ... Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

Data Engineer

Cary, NC

$107K - $128K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

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Manager Data Engineering information

See Raleigh, NC salary details

$30.1K

$94.4K

$167.2K

How much do manager data engineering jobs pay per year?

As of Aug 31, 2026, the average yearly pay for manager data engineering in Raleigh, NC is $94,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,000.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

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

What are popular job titles related to Manager Data Engineering jobs in Raleigh, NC?

For Manager Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Raleigh, NC look for?

The top searched job categories for Manager Data Engineering jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Manager Data Engineering jobs?

Cities near Raleigh, NC with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Raleigh, NC as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $94,433 per year, or $45.4 per hour.

Data Engineer

Well

Chapel Hill, NC • On-site

$115K - $145K/yr

Full-time

Re-posted 10 days ago


Job description

Description
Company: The mission of Well (https://www.well.co/) is to transform healthcare through our unique impact on our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product - a consumer health engagement platform - integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: https://www.well.co/careers.
Position Title: Data Engineer
Reporting To: Manager, Data Engineering
Location: Chapel Hill, NC; Minneapolis, MN; Boston, MA (Newton); New York, NY; Remote in approved locations
Salary: This role can be hired for at either the Data Engineer 1 ($115,000-$135,000) or Data Engineer 2 ($125,000-$145,000), depending on qualifications, plus bonus potential and benefits
Position Summary:
Well is seeking an experienced and self-motivated data engineer to help build the next generation of our data pipelines and data tooling. You will be creating new services, interfaces, data pipelines and cloud infrastructure to support the transfer, ingestion, monitoring and integration of large amounts of data: thousands of files, millions of events, and billions of rows in our data lake. We are in the process of scaling our data infrastructure and driving mission critical AI features for our products. Come join us, it's a pivotal time to be at Well and you'll make a real difference.
Responsibilities:
  • Contribute to the design and implementation of a robust ETL process, managing file ingestion from external parties to AWS, GCP, and BigQuery with a focus on scalability and reliability.
  • Configure, maintain, and extend core data platform and internal data administration tools.
  • Monitor ETL processes with internal and external partners, and respond to events and/or data processing errors.
  • Collaborate with a team of experienced software engineers, DevOps engineers and data scientists to create and deliver a seamless, tailored experience for data team stakeholders.
  • Achieve operational excellence in software development by participating in and leading code reviews, quality assurance, and production monitoring
  • Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines

Requirements
  • Experience in delivery of software utilizing Node.js, Python, SQL, and Terraform
  • 3+ years of software development experience using cloud providers (AWS and/or GCP)
  • Good understanding of general engineering principles, trade-offs, and systems design
  • Robust coding abilities and demonstrated ability to resolve complex technical challenges
  • Experience with test driven development, an understanding of microservices and big data patterns with insight into choices and tradeoffs involved
  • Degree and/or background in a related field such as Computer Science, Engineering or a quantitative discipline with strong demonstrated practical experience
  • Willingness to learn new patterns, languages, technologies and methodologies, aligning both with our Engineering culture and continuously evolving technology environment
  • Experience working with healthcare data such as insurance claims, electronic health records, and wearables a plus