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Databricks Data Engineer Jobsexternal in Charlotte, NC (NOW HIRING)

Sr Databricks Data Engineer

Charlotte, NC · On-site

$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 ...

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 ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... DataBricks environment to process and analyze large volumes of data. • Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling. • Proficient in developing programs in ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Lead Data Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina 28273 Work Arrangement: 5 days onsite Employment Consideration: Contract to Hire Let's create our future together at The AES ...

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 ...

Data Engineer

Charlotte, NC · On-site

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with ...

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Well-versed with Azure Databricks * Strong SQL skills with RDMS or NoSQL databases * Experience with developing API's using FastAPI or similar frameworks in Python * Familiarity with the DevOps ...

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

SUMMARY: The Data Engineer designs, develops, and collaborates with a team of Azure Databricks and Actimize specialists, partnering with external vendors to deliver compliance and surveillance ...

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

SUMMARY: The Data Engineer designs, develops, and collaborates with a team of Azure Databricks and Actimize specialists, partnering with external vendors to deliver compliance and surveillance ...

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment ... Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake ...

Lead Data Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Position:  Lead Data Engineer Location: Cincinnati ,OH / Charlotte ,NC ... Design and implement scalable data pipelines and architectures on Azure Databricks.  * Optimize ...

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Databricks Data Engineer information

See Charlotte, NC salary details

$43.5K

$126.7K

$173.4K

How much do databricks data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for databricks data engineer in Charlotte, NC is $126,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,300.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Charlotte, NC?

The most popular types of Databricks Data Engineer jobs in Charlotte, NC are:

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

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

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

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

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

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

Infographic showing various Databricks Data Engineer job openings in Charlotte, NC as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $126,696 per year, or $60.9 per hour.

W2 role | Databricks Data Engineer

Global Digital Resources LLC

Charlotte, NC • On-site

$111K - $134K/yr

Other

Posted 10 days ago


Job description

🚨 Hiring: Databricks Data Engineer | W2 | Charlotte, NC

We are hiring a Senior Databricks Data Engineer with strong hands-on experience in Azure Databricks and modern data engineering.

📍 Location: Charlotte, NC — Hybrid (2 days onsite)
💼 Employment: W2
Duration: 12+ Months
🎯 Experience: 9+ Years
💻 Interview: Teams + possible final round in person
Transferable H1B candidates are applicable

🔥 Key Skills Required:

• Azure Databricks
• Apache Spark / PySpark
• Python / Scala
• Advanced SQL
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2 (ADLS)
• Delta Lake / Lakehouse Architecture
• Databricks Unity Catalog
• Azure IAM & Data Governance
• Spark Performance Tuning & Optimization
• Azure DevOps / Git
• Terraform / Infrastructure as Code
• ETL / ELT Pipeline Development
• Data Modeling & Data Quality

📌 Role Overview:

The ideal candidate will design, build, and maintain scalable data pipelines, lakehouse architectures, and analytics solutions using Microsoft Azure and Databricks. Strong production-level Databricks experience is highly preferred.

Thanks & regards

Doni Bhagya Raj

Sr. Technical Recruiter