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Databricks Engineer Jobs in North Carolina (NOW HIRING)

Programmers.io

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

· Cloud & Data Engineer with hands-on experience deploying and administering Azure resources ... in Databricks administration and PySpark development, delivering high-performance ELT pipelines ...

Scout Motors Inc.

Senior DataOps Engineer

Charlotte, NC · On-site

$102K - $140K/yr

... Databricks, AWS cloud services, and modern Infrastructure as Code (IaC) practices. • Lead the ... product managers, developers, and business partners to ensure robust and reliable systems.

Teladoc

Staff AI Engineer, GenAI

Concord, NC · Remote

$200K - $230K/yr

Architect scalable data and AI workflows on Snowflake, Databricks, and Azure ML, integrating AI ... Mentor ML engineers and data scientists on engineering rigor, scalable design, and production ...

Beghou Consulting

Data Engineer

Durham, NC · On-site

$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 ...

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 ...

Innosoul inc

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

NC-806590 Hybrid/Local Govt Azure Data Engineer (15+) with Power BI (must), dataflows/DirectQuery/Import models, JSON/CSV/Parquet, Synapse/Snowflake/ADLS/Data Factory/Databricks, ETL/ELT, tuning ...

STAFFXPERT LLC

Azure Data Engineer

Charlotte, NC · On-site

$53.75 - $66.75/hr

Work with Azure Databricks, Azure Functions, and Azure databases to support data engineering initiatives. * Integrate APIs and manage API Gateway solutions. * Develop data services using Python ...

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Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in North Carolina

Databricks Engineer information

See North Carolina salary details

$54.1K

$101.5K

$184.5K

How much do databricks engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for databricks engineer in North Carolina is $101,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $120,400.00 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 North Carolina? For Databricks Engineer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in North Carolina look for? The top searched job categories for Databricks Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Databricks Engineer jobs? Cities in North Carolina with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in North Carolina as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $101,451 per year, or $48.8 per hour.

Azure Data Engineer

Programmers.io

Charlotte, NC • On-site

$111K - $134K/yr

Contractor

Re-posted 2 days ago

Job description

Job Description:  
·                Cloud & Data Engineer with hands-on experience deploying and administering Azure resources, including compute, networking, storage, security, and monitoring components

·                Proven ability to automate cloud provisioning using Terraform, ARM templates, Azure DevOps, GitHub Actions, and Jenkins to improve deployment speed and reliability.

·               Experienced in designing and building distributed data pipelines using ADF, ADLS Gen2, Azure SQL, Synapse, Event Hubs, and Stream Analytics.

·                Strong background in Databricks administration and PySpark development, delivering high-performance ELT pipelines, Delta Lake solutions, and workspace governance.

·               Familiar with ML Ops frameworks, Azure Machine Learning (AML), MCP servers, and enterprise AI Search integration for production-grade AI workloads.

·               Strong command of Python, PySpark, and SQL performance tuning for large-scale data processing and analytics workloads.      

Responsibilities

  • Identify, Clarify, Analyze and Confirm any requests for data sourcing or data changes for our ETL pipelines.
  • Ensure that the requirements are clear, edge cases are considered, and impact of the changes are understood.   
  • Effectively manage our backlog prioritized and is a clear reflection of what the team is currently working on.
  • Assist and support the developers from intake, to development, testing, and release of new features.
  • Liaise between our Stakeholder, Product Owners, and upstream source systems.
  • Ensure our documentation and our runbooks are up to date.
  • Keep up to date with the latest industry trends and technologies related to data engineering

Preferred Qualifications

·  8+ years of relevant experience in a related field of job function.

·  Azure certified, Databricks certified

·  Experience with Jira, Confluence.

·       ·  Experience with APIs, SQL.