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

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity * Implement advanced data ...

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams ...

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams ...

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams ...

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 ...

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 ...

Senior Data Scientist Location : Carmel, IN (Onsite) Pay Rate : $80/hr W2 Type: Contract(W2) Job ... Python, PyTorch, Machine Learning, Prompt Engineering, Large Language Models, AWS / GCP / Azure ...

New

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

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 ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into ...

AI Data Engineer - Senior Consultant

Raleigh, NC · Hybrid

$101K - $139K/yr

As an AI Engineer Senior Consultant , you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets ...

Data Strategy-Senior Manager

Raleigh, NC · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

... serves as a senior source of expertise. The position may also provide sizing or budget ... Mentor lead data engineers interested in consultancy on development methodologies and optimization ...

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Sr Data Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do sr data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for sr data engineer in Raleigh, NC is $122,794.00, 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 SR data engineer do?

A senior data engineer designs, develops, and maintains large-scale data pipelines and architectures to support data collection, storage, and analysis. They work with tools like SQL, Python, and cloud platforms, ensuring data quality and security while collaborating with data scientists and analysts. Their role often involves optimizing data workflows and implementing best practices for data management.

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

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives. Achieving this level typically requires years of experience and a strong track record in data engineering roles.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr Data Engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What engineers make 300,000 a year?

Senior data engineers, software engineers, and specialized roles such as machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and in high-demand industries like finance or tech. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are Sr Data Engineers?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What job categories do people searching Sr Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Sr Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Sr Data Engineer jobs? Cities near Raleigh, NC with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,794 per year, or $59 per hour.
Senior Data Engineer

Senior Data Engineer

UnitedHealth Group

Raleigh, NC • Remote

$91K - $163K/yr

Full-time

Retirement

Posted 8 days ago


UnitedHealth Group rating

7.5

Company rating: 7.5 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

223rd of 872 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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