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Databricks Engineer Jobs in Durham, NC (NOW HIRING)

UnitedHealth Group

Senior DevOps Engineer

Raleigh, NC · On-site

$126K - $162K/yr

Automate Databricks environment management, including workspace configuration, cluster policies ... Partner with data engineering, platform, security, and product teams to enable reliable, compliant ...

GEI Consultants

AI Engineer

Cary, NC

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

AI Engineer

Cary, NC · On-site

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Cary, NC

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

DoiT

Solutions Engineer, SELECT by DoiT

Raleigh, NC · Remote

Location: Our Solutions Engineer, SELECT by DoiT, will be an integral part of our Solutions ... We are seeking an individual who is not only passionate about Snowflake/Databricks/BigQuery ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Kanak Elite Services Inc

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows * Programming Languages: Strong proficiency in Python or ...

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Durham, NC

Databricks Engineer information

See Durham, NC salary details

$57.5K

$107.9K

$196.2K

How much do databricks engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for databricks engineer in Durham, NC is $107,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $128,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Durham, NC? For Databricks Engineer jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Durham, NC look for? The top searched job categories for Databricks Engineer jobs in Durham, NC are:
What cities near Durham, NC are hiring for Databricks Engineer jobs? Cities near Durham, NC with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Senior DevOps Engineer

Senior DevOps Engineer

UnitedHealth Group

Raleigh, NC • On-site

$126K - $162K/yr

Full-time

Retirement

Re-posted 27 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 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 will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Design, implement, and operate CI/CD pipelines supporting application, data, and platform deployments across Azure and Databricks environments
  • Own production reliability, availability, performance, and scalability for cloud platforms, including Databricks workspaces, jobs, clusters, and workflows
  • Build and maintain Infrastructure as Code (IaC) and configuration management to provision and manage Databricks, cloud infrastructure, and networking in a repeatable and secure manner
  • Automate Databricks environment management, including workspace configuration, cluster policies, job orchestration, and access controls
  • Implement and enhance monitoring, alerting, and observability across cloud and Databricks platforms using Splunk, Azure Monitor, and telemetry frameworks
  • Partner with data engineering, platform, security, and product teams to enable reliable, compliant, and scalable data pipelines and analytics platforms
  • Drive cloud and platform modernization initiatives, including containerization, platform standardization, and Databricks best practices
  • Embed AI-assisted DevOps practices, leveraging GenAI tools to accelerate troubleshooting, automate operational tasks, improve deployment reliability, and optimize system performance
  • Enable AIOps capabilities such as intelligent alerting, anomaly detection, log analysis, and predictive insights for proactive operations across Databricks workloads
  • Support production issue triage and resolution, including on-call support, incident management, and post-incident root cause analysis
  • Ensure security-by-design and compliance across pipelines and platforms, including secrets management, RBAC, audit readiness, and governance
  • Continuously reduce operational toil and improve delivery velocity through automation, AI-driven insights, and self-service tooling

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 direction 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 in Computer Science, IT or Engineering related field
  • 5+ years of experience in DevOps, Platform Engineering
  • 5+ years of experience with CI/CD tools such as Git, Jenkins, or equivalent enterprise platforms 3+ years of experience with .NET, Angular and Typescript
  • 3+ years of proven experience operating and supporting any one Azure public cloud infrastructure
  • 3+ years of experience in scripting or programming languages (Python, Shell, or similar) with a strong automation mindset
  • 3+ years of experience in Infrastructure as Code (IaC): Terraform-based, repeatable environment provisioning
  • 1+ years of hands-on experience with Databricks platform operations, including clusters, jobs, workflows, and environment configuration

Preferred Qualifications:
  • Experience with Infrastructure as Code, automation, and configuration management practices
  • Experience supporting mission-critical data and analytics platforms, including incident management and RCA
  • Experience with containerization and orchestration technologies (Docker, Kubernetes, AKS)
  • Experience operating in security- and compliance-driven environments, including RBAC, audit controls, and governance
  • Prior experience mentoring engineers or acting as a technical lead within DevOps or platform initiatives
  • Solid understanding of monitoring, logging, and observability in large-scale production environments
  • Strong communication skills and ability to collaborate with cross-functional engineering teams
  • Exposure to AI-enabled DevOps or AIOps, including automated remediation, intelligent monitoring, or predictive analytics
  • Familiarity with GenAI tools for AI-assisted troubleshooting, pipeline optimization, or operational insights

*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.
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