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Databricks Jobs in Cary, NC (NOW HIRING)

Damco Solutions is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. The role involves collaborating ...

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 ...

Research, outline, draft, and revise comprehensive guides on Databricks and Snowflake cost management topics (compute optimization, job cluster configuration, Unity Catalog economics, photon ...

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

Build and maintain end-to-end ML pipelines on Databricks from feature engineering and model training to validation, deployment, and monitoring in production. * Apply classical statistical methods ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Administer the enterprise Databricks platform by configuring IAM roles for secure Amazon S3 bucket access, managing application credentials and secrets through Databricks' built-in vault system and ...

Data Solutions Engineer

Durham, NC · On-site

$110 - $160/hr

Design, implement, and support end‑to‑end ELT pipelines (ingest → transform → publish) in Databricks/ADF * Implement data quality checks (DLT expectations, unit tests) with alerting and ...

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.

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.

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Databricks information

See Cary, NC salary details

$21.8K

$34.9K

$47.2K

How much do databricks jobs pay per year?

As of Aug 24, 2026, the average yearly pay for databricks in Cary, NC is $34,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $38,400.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

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 involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are popular job titles related to Databricks jobs in Cary, NC?

For Databricks jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Cary, NC look for?

The top searched job categories for Databricks jobs in Cary, NC are:

What cities near Cary, NC are hiring for Databricks jobs?

Cities near Cary, NC with the most Databricks job openings:

Infographic showing various Databricks job openings in Cary, NC as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $34,939 per year, or $16.8 per hour.

$100K - $140K/yr

Full-time

Re-posted 16 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