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Databricks Engineer Jobs in Charlotte, NC (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Charlotte, NC

$111K - $134K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

MSR Cosmos

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

Enable selfservice analytics and governance Data Engineering * Build and maintain data workflows using Dataform and Databricks * Implement best practices for data ingestion transformation and ...

Unison Group

Databricks Data Architect

Charlotte, NC · On-site

$62.25 - $80/hr

You'll take ownership of implementation tasks, lead technical delivery, and mentor engineering ... Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure ...

1 point system

Databricks Architect (Remote)

Rock Hill, SC · Remote

$66.25 - $87/hr

Ability to design and optimize scalable data engineering solutions * Excellent troubleshooting and performance tuning skills Key Responsibilities: * Lead Databricks migration initiatives from AWS to ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Charlotte, NC

Databricks Engineer information

See Charlotte, NC salary details

$58.1K

$109K

$198.3K

How much do databricks engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for databricks engineer in Charlotte, NC is $109,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,600.00 and $129,400.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

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

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

What cities near Charlotte, NC are hiring for Databricks Engineer jobs?

Cities near Charlotte, NC with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Charlotte, NC as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $109,032 per year, or $52.4 per hour.

Databricks Engineer (W2)

Voto Consulting LLC

Charlotte, NC • On-site

Other

Posted 6 days ago

Job description

Title: Databricks Engineer (W2)

Location: Charlotte NC (Hybrid)

Duration: 6-12 Months

Visa: USC

W2 Role | Onsite Interview

Databricks Engineer to design, build, and maintain scalable data pipelines, lakehouse architectures, and analytics solutions using Microsoft Azure and the Databricks platform. 

Key Responsibilities

  • Pipeline Development: Design and build Extract, Transform, Load (ETL) and ELT data pipelines using Azure Data Factory (ADF) and Azure Databricks
  • Big Data Processing: Write optimized data processing code using Apache Spark, PySpark, Python, Scala, and advanced SQL.
  • Storage & Architecture: Implement and manage data lakes using Azure Data Lake Storage (ADLS Gen2) and Delta Lake / lakehouse patterns.
  • Governance & Security: Configure data governance, lineage, and access controls using Databricks Unity Catalog and Azure IAM.
  • Optimization & Operations: Monitor, troubleshoot, and tune Spark jobs and data pipelines for performance, reliability, and cost-efficiency.
  • CI/CD & DevOps: Support deployment processes utilizing Azure DevOps, Git version control, and infrastructure-as-code tools like Terraform.

Required Skills & Qualifications

  • Experience: 3 to 7+ years of total experience in data engineering or cloud-based data platform development.
  • Core Technologies: Hands-on proficiency in Azure Databricks, Apache Spark, PySpark, and Azure Data Factory (ADF).
  • Languages: Advanced SQL and solid programming skills in Python or Scala.
  • Data Concepts: Strong grasp of Delta Lake, relational/NoSQL data storage, data modeling, and data quality standards.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related quantitative field (often preferred)

 

 

 

Thanks & Regards.

 

Aviral Sapra

Voto Consulting LLC

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