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Senior Data Engineer Manager Jobs in Raleigh, NC

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance ... Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

About the Role We are seeking a Senior Data Engineer to join Client 's Asset Management Technology team. In this role, you will be responsible for designing, developing, and maintaining scalable data ...

Data Engineer

Durham, NC · On-site

$103K - $124K/yr

About the Role We are seeking a Senior Data Engineer to join Client 's Asset Management Technology team. In this role, you will be responsible for designing, developing, and maintaining scalable data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

You will work alongside senior engineers, software developers, product leaders, and mission ... Support data governance initiatives, including metadata management, lineage tracking, auditability ...

Senior Data Cloud Engineer

Durham, NC · On-site

$96K - $130K/yr

Senior Data Cloud Engineer California, US residents click here. The job details are as follows: We ... Ingest, integrate, and manage HCP and patient data from multiple internal and external sources into ...

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... Manage database schema evolution, writing and applying migrations to maintain consistency across ...

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... Manage database schema evolution, writing and applying migrations to maintain consistency across ...

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... Manage database schema evolution, writing and applying migrations to maintain consistency across ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ... Excellent communication and stakeholder management skills. Preferred / Nice-to-Have Qualifications

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ... Excellent communication and stakeholder management skills. Preferred / Nice-to-Have Qualifications

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ... Excellent communication and stakeholder management skills. Preferred / Nice-to-Have Qualifications

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Showing results 1-20

Senior Data Engineer Manager information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do senior data engineer manager jobs pay per year?

As of Jul 6, 2026, the average yearly pay for senior data engineer manager in Raleigh, NC is $122,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

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

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager, and why are they important?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.
What are the most commonly searched types of Senior Data Engineer jobs in Raleigh, NC? The most popular types of Senior Data Engineer jobs in Raleigh, NC are:
What job categories do people searching Senior Data Engineer Manager jobs in Raleigh, NC look for? The top searched job categories for Senior Data Engineer Manager jobs in Raleigh, NC are:
Infographic showing various Senior Data Engineer Manager job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $122,801 per year, or $59 per hour.
Senior Data Engineer

Senior Data Engineer

UnitedHealth Group

Raleigh, NC • Remote

$91K - $163K/yr

Full-time

Retirement

Posted 29 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.   

You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutionsto address complex business challenges with an emphasis on the responsible use of AI
  • Architect and optimize complex ETL processesand data pipelines usingDatabricks(Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale datasets
  • Evaluate emerging trendsin ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform
  • Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity
  • Implement advanced data modelingtechniques, such as star schemas and incremental loads, to ensure data integrity and scalability across all ETL layers
  • Build and maintain executive-level dashboardsand semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations
  • Partner with product and business leadersto translate complex business requirements into robust, automated data integration solutions
  • Lead technical coordinationwithin a global delivery model, ensuring consistency and quality of ETL standards across onshore and offshore teams
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications: 

  • Bachelor's degree or equivalent experience
  • 6 years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions
  • 5 years of Cloud experience (Azure, GCP, AWS, or OCI)
  • 5 years of experience in programming languages such as Python, Java, etc.
  • 4 years of hands-on experience usingDatabricks(Spark, SQL, Python, notebooks) or other majorETL platformsto build and optimize large-scale data pipelines
  • 4 years of experience in data modeling (star schemas, semantic modeling, incremental loads, large datasets) and advanced SQL
  • 1 years of experience delivering AI-driven analytics or data solutions

Preferred Qualifications:

  • Healthcare industry experience, specifically in clinical or real-time analytics
  • Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data lineage in governed environments
  • Experience developing AI-driven automations or integrating large language models (LLMs) into data products and ETL workflows
  • Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query, and semantic modeling
  • Demonstrated experience working in global delivery models with effective onshore-offshore collaboration
  • Proven ability to solve complex technical problems with a focus on data processing efficiency and system scalability

All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.  

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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