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Databricks Engineer Jobs in Durham, NC (NOW HIRING)

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to-hire ...

UnitedHealth Group

Senior DevOps Engineer

Raleigh, NC · Remote

$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 ...

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.

Beghou Consulting

Data Engineer

Durham, NC

$110K - $132K/yr

Build scalable data pipelines and ETL/ELT workflows using Databricks, Python, and PySpark. * Develop cloud-native data solutions on AWS and/or Azure. * Implement software engineering best practices ...

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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 Aug 7, 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 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 architecture can earn higher compensation, often exceeding $160,000 per year.

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?

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.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
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
Infographic showing various Databricks Engineer job openings in Durham, NC as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $107,870 per year, or $51.9 per hour.

Databricks Engineer

Tata Consultancy Service Limited

Raleigh, NC • On-site

$100K - $140K/yr

Full-time

Posted 29 days ago

Job description

Must Have Technical/Functional Skills
• Databricks and Apache Spark
• SQL and data analysis
• ETL/ELT development and optimization
• Data modeling and performance tuning
• Python or Scala
• Azure cloud-based data platforms
• Production support and operational monitoring
Roles & Responsibilities
• Design, develop, and deploy scalable ETL/ELT pipelines using Databricks, Spark, and PySpark.
• Build and optimize SQL-based data transformation and analytics solutions.
• Collaborate with product owners, data architects, analysts, and business teams on data models and workflows.
• Develop Delta Lake structures and enterprise data pipelines.
• Implement job orchestration, monitoring, and data quality controls.
• Maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.
• Support Azure-based cloud data platforms and ensure reliable, high-performing data operations.
Salary Range: $100,000 to $140,000 per year

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