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Data Engineer Manager Jobs in Durham, NC (NOW HIRING)

Senior Data Engineer

Raleigh, NC ยท On-site

$103K - $140K/yr

... schema management strategies Experience with Snowflake security, governance, and workload ... DevOps | CI/CD | Data Integration | Pipeline Monitoring | Performance Optimization

Azure Data Engineer 1-20-

Raleigh, NC ยท Remote

$117K - $140K/yr

Familiarity with Transact-SQL (T-SQL) for managing and querying SQL Server databases. Data Security ... Azure Data Engineer Associate, can further validate and enhance these skills. Qualifications:

Data Engineer - SAP / Salesforce

Raleigh, NC ยท Hybrid

$111K - $133K/yr

Work closely with product managers, developers/architects, and business/reporting analysts to define/sign-off data requirements. Collaboration & Thought Leadership * Partner with global and regional ...

Data Engineer - SAP / Salesforce

Raleigh, NC ยท Hybrid

$111K - $133K/yr

Work closely with product managers, developers/architects, and business/reporting analysts to define/sign-off data requirements. Collaboration & Thought Leadership * Partner with global and regional ...

Data Engineer

Raleigh, NC ยท On-site

$90 - $120/hr

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ... wealth management, and insurance sectors. If you're passionate about AI and eager to make a ...

Data Engineer - Hybrid - 80% remote

Raleigh, NC ยท Hybrid

$111K - $133K/yr

Calling all experienced Data Engineers ! Bring your expertise to this exciting hybrid role and help ... Learning and using modern data preparation, integration and AI-enabled metadata management tools ...

New

Data Strategy-Manager

Raleigh, NC ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Governance- Manager

Raleigh, NC ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Senior Data Engineer

Raleigh, NC ยท On-site

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Participate in on-call rotations and incident management activities. Quality & Continuous ...

Showing results 41-60

Data Engineer Manager information

See Durham, NC salary details

$40.3K

$117.5K

$160.8K

How much do data engineer manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer manager in Durham, NC is $117,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $124,600.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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

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

What are popular job titles related to Data Engineer Manager jobs in Durham, NC?

For Data Engineer Manager jobs in Durham, NC, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Durham, NC look for?

The top searched job categories for Data Engineer Manager jobs in Durham, NC are:

What cities near Durham, NC are hiring for Data Engineer Manager jobs?

Cities near Durham, NC with the most Data Engineer Manager job openings:

Infographic showing various Data Engineer Manager job openings in Durham, NC as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 75% In-person, 6% Hybrid, and 19% Remote job distribution, with an average salary of $125,237 per year, or $60.2 per hour.

Data Engineer (Health Data Metrics)

Keebler Health

Durham, NC โ€ข On-site

$110K - $132K/yr

Full-time

Posted 3 days ago

New


Job description

About Keebler Health
Keebler Health is building the operating system for value-based care. Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data. We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.
We're a fast-moving, high-performing team, and we're looking for people who share our bias toward speed, urgency, and excellence. We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare data and AI driven suggestions.
About the role
We are seeking a skilled and motivated mid level to senior level Data Engineer to join our team and play a critical role in building and optimizing the data infrastructure that powers our healthcare AI solutions. The ideal candidate will bring expertise in modern data engineering tools and techniques, with a specific focus on healthcare quality metrics, population health, and data interoperability standards such as FHIR. Level and salary will commensurate with experience.
Key Responsibilities
Data Engineering and Development
  • Design, build, and maintain scalable, efficient data pipelines for ETL/EL T processes on AWS.
  • Develop, test, and deploy robust solutions using SQL and Python for data transformation and analysis.
  • Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services.
  • Leverage dbt (Data Build Tool) for data modeling, transformation, and documentation.
  • Utilize workflow orchestration tools such as Temporal for pipeline automation.
Healthcare Data Expertise
  • Work with healthcare quality metrics such for value-based care and ensure data alignment with industry standards.
  • Collaborate with stakeholders to integrate population health tools and analytics into data workflows.
  • Develop and maintain familiarity with FHIR data models and healthcare interoperability standards for seamless integration of healthcare data sources.
  • Ensure compliance with HIPAA and other healthcare regulatory requirements in all data handling processes.
Optimization and Innovation
  • Identify and resolve performance bottlenecks in data pipelines, ensuring high availability and reliability.
  • Optimize data storage and querying performance within Redshift Serverless and AWS infrastructure.
  • Stay current with emerging trends in data engineering and healthcare technology, incorporating innovations into the data ecosystem.
Collaboration and Impact
  • Partner with data and engineering teams to ensure data is accessible and meets business requirements.
  • Develop scalable solutions for integrating complex healthcare datasets, ensuring data quality and accuracy.
  • Contribute to the design and implementation of secure, scalable, and efficient data architecture on AWS.

Required Qualifications
  • Must be US based. No foreign applicants will be considered.
  • Proven experience in data engineering roles with expertise in SQL, Python, and AWS cloud-based data infrastructure.
  • Experience with tools like dbt and Spark/PySpark for data transformation and modeling.
  • Familiarity with healthcare data systems, including HEDIS metrics, population health tools, and FHIR data models.
  • Knowledge of data warehousing and workflow orchestration tools.

Preferred Skills
  • Strong understanding of healthcare data standards, including FHIR, HL7 and CQL.
  • Hands-on experience with data modeling, normalization, and schema design for complex datasets.
  • Experience designing and building scalable, production-grade data pipelines using orchestration tools such as Airflow, Dagster, or Temporal.
  • Hands-on experience with AWS data and compute services, including Glue, EMR, Iceberg, Redshift Serverless, S3, Lambda, and related technologies.
  • Strong experience with data transformation and distributed processing, using tools such as dbt, Spark/PySpark, and Pandas.
  • Experience designing and operating HIPAA-compliant data architectures and handling sensitive healthcare data.
  • Demonstrated ability to optimize data pipelines for performance, scalability, and reliability in cloud environments.
  • Strong problem-solving skills and attention to detail when working with large, complex, and heterogeneous datasets.
  • Experience with Infrastructure as Code (IaC) tools such as Terraform.

What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work in a fast-paced, innovative environment.
  • Professional growth and development opportunities.
  • Collaborative and supportive team culture.
  • Chance to make a meaningful impact on the healthcare industry.

When applying
In addition to your resume, also include:
  • A highly personalized, bold, and hilarious "Keebler Health-style" introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we're building something real.