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Contract Databricks Developer Jobs in Charlotte, NC

1 point system

Databricks Architect (Remote)

Rock Hill, SC · Remote

$66.25 - $87/hr

Requirement - Databricks Architect (Remote) Location- USA Remote Contract W2 Required Skills ... Ability to design and optimize scalable data engineering solutions * Excellent troubleshooting and ...

The AES Group

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 ...

Staffingine LLC

MLOps Engineer

Charlotte, NC · On-site

Contract * 4 to 6 years of strong experience with AWS Gov Cloud environments Export Control FedRAMP ... Azure Databricks AWS Databricks specializing in End to End MLOps architecture with practical ...

1 point system

QA Engineer (Data)

Fort Mill, SC · Remote

$30/hr

Requirement - QA Engineer (Data) Location- 100% Remote Contract W2 Rate- $30/hr on W2 we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or ...

Epikso

Data Engineer | Hybrid- Charlotte, NC

Charlotte, NC · On-site

$50 - $55/hr

Charlotte, NC Hybrid - 3 days in a week Employment Type: Long Term Contract Pay Rate Range: $50/hr ... Nice-to-Have Skills Databricks DBT (Data Build Tool) Delta Lake or Apache Iceberg Machine learning ...

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How much do contract databricks developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for contract databricks developer in Charlotte, NC is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $53.99 and $66.44 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Charlotte, NC? The most popular types of Databricks Developer jobs in Charlotte, NC are:
What are popular job titles related to Contract Databricks Developer jobs in Charlotte, NC? For Contract Databricks Developer jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Charlotte, NC look for? The top searched job categories for Contract Databricks Developer jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Contract Databricks Developer jobs? Cities near Charlotte, NC with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Charlotte, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,923 per year, or $60.1 per hour.

Azure Databricks Engineer

Prophecy Technologies

Charlotte, NC • On-site

$53.75 - $66.75/hr

Contractor

Posted 18 days ago

Job description

Role : Azure Databricks Engineer
Location: Day1 Onsite (Charlotte, NC)
Duration: 12+ Months Contract
Years of Experience: 12+ years
Must Have Skills
Proven expertise in Azure Databricks, including experience with Spark, data pipelines, and data lakes.
Strong programming skills in languages such as Python, Scala, or SQL.
Experience with cloud based data storage solutions, particularly Azure Data Lake Storage and Azure SQL Database.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Demonstrated ability to lead technical teams and manage multiple projects simultaneously.

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