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Databricks Jobs in North Carolina (NOW HIRING)

MSR Cosmos

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

GCP Databricks Architect Location: Davidson, NC Onsite Duration: Long Term "BRIEF POSITION SUMMARY Experienced Data Platform Architect to design and manage enterprise grade data solutions This role ...

CEI

Data Engineer (Databricks, AWS)

Raleigh, NC

$70/hr

This role requires deep expertise in Databricks (including Genie), AWS cloud services, and PySpark, with strong domain knowledge of pharmaceutical/biotech commercial datasets such as IQVIA, Symphony ...

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Databricks information

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$21.4K

$34.3K

$46.3K

How much do databricks jobs pay per year?

As of Aug 11, 2026, the average yearly pay for databricks in North Carolina is $34,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $37,700.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in North Carolina? The most popular types of Databricks jobs in North Carolina are:
What are popular job titles related to Databricks jobs in North Carolina? For Databricks jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in North Carolina look for? The top searched job categories for Databricks jobs in North Carolina are:
What cities in North Carolina are hiring for Databricks jobs? Cities in North Carolina with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in North Carolina as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $34,274 per year, or $16.5 per hour.

Databricks Developer

Tata Consultancy Service Limited

Raleigh, NC • On-site

$100K - $140K/yr

Full-time

Re-posted 23 days ago

Job description

Must Have Technical/Functional Skills
• Design and develop scalable data pipelines and ETL workflows using Databricks (Spark, PySpark)
• Build and optimize Delta Lake architectures for high-performance data processing
• Develop and deploy AI/ML models and advanced analytics solutions
• Implement Agentic AI / GenAI solutions using Databricks (e.g., Agent Bricks, LLM-based workflows)
• Develop BI and analytics datasets for downstream reporting and visualization
• Collaborate with business and data science teams to translate requirements into solutions
• Optimize performance, cost, and scalability of data pipelines on cloud platforms
• Ensure data quality, governance, and compliance standards are met
• Excellent problem-solving and communication skills.
Roles & Responsibilities
We are seeking an experienced Databricks Developer to design, develop, and optimize scalable data and AI-driven solutions on cloud platforms. The role requires strong expertise in data engineering, machine learning, and modern analytics leveraging Databricks and AI frameworks.
Key Responsibilities
• Design and develop scalable data pipelines and ETL workflows using Databricks (Spark, PySpark)
• Build and optimize Delta Lake architectures for high-performance data processing
• Develop and deploy AI/ML models and advanced analytics solutions
• Implement Agentic AI / GenAI solutions using Databricks (e.g., Agent Bricks, LLM-based workflows)
• Develop BI and analytics datasets for downstream reporting and visualization
• Collaborate with business and data science teams to translate requirements into solutions
• Optimize performance, cost, and scalability of data pipelines on cloud platforms
• Ensure data quality, governance, and compliance standards are met
Required Skills & Experience
• Strong hands-on experience with Databricks (Workflows, Delta Lake, Unity Catalog)
• Expertise in ETL/Data Engineering using Spark/PySpark
• Experience with AI/ML model development and deployment
• Knowledge of Agentic AI / GenAI frameworks and LLM integration
• Strong understanding of cloud platforms (AWS / Azure / GCP)
• Experience with BI tools (Power BI, Tableau, etc.)
• Proficiency in SQL, Python
Salary Range: $100,000 to $140,000 per year

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