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Contract Databricks Developer Jobs (NOW HIRING)

Atlanta, GA / Nashville, TN Duration: Long term contract Note: Looking for Permanent / Visa independent consultants We are looking for a skilled Databricks Developer to build and optimize data ...

Genesis10 is currently seeking an Application Developer - Hybrid for a 7 month contract position ... In this role, you will act as a Databricks-centric FullStack Consultant with deep expertise in ...

Boston, MA Long Term Contract * Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design * Overall experience 7 to 8 years in Scala-Spark data engineering and Data ...

Databricks Engineer Remote Contract role * Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark * Build scalable data processing workflows for structured and semi-structured ...

New

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Contract Must have: Databricks, Pyspark, Azure Cloud Services, Asset Bundle Technical Skills ... Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification ...

Databricks Engineer

Bethesda, MD · On-site

$62K - $141K/yr

Databricks Engineer The Opportunity: We are seeking a hands-on Databricks Engineer to design, build ... as well as contract-specific affordability and organizational requirements. The projected ...

Databricks Engineer

Washington, DC · On-site

$62K - $141K/yr

Databricks Engineer The Opportunity: We are seeking a hands-on Databricks Engineer to design, build ... as well as contract-specific affordability and organizational requirements. The projected ...

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Contract Databricks Developer information

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How much do contract databricks developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for contract databricks developer in the United States is $61.49, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

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

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 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 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 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.

More about Contract Databricks Developer jobs
What cities are hiring for Contract Databricks Developer jobs? Cities with the most Contract Databricks Developer job openings:
What are the most commonly searched types of Databricks Developer jobs? The most popular types of Databricks Developer jobs are:
What states have the most Contract Databricks Developer jobs? States with the most job openings for Contract Databricks Developer jobs include:
Infographic showing various Contract Databricks Developer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 6% Full Time, 80% Part Time, 3% Temporary, and 8% Contract. Highlights an 27% Physical, 2% Hybrid, and 71% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.
Databricks Developer

Databricks Developer

IT America Inc

Atlanta, GA • On-site

Contractor

Posted 24 days ago


Job description

Position: Databricks Developer

Location: Atlanta, GA / Nashville, TN

Duration: Long term contract

Note: Looking for Permanent / Visa independent consultants

We are looking for a skilled Databricks Developer to build and optimize data solutions on the Databricks platform, leveraging Azure cloud services to deliver scalable and high-performance data pipelines.

Key Responsibilities:

  • Develop and optimize data pipelines and workflows using Databricks and PySpark
  • Work with Delta Lake for reliable and performant data storage and processing
  • Manage and govern data assets using Unity Catalog
  • Write and optimize complex SQL queries for data transformation and analytics
  • Collaborate with stakeholders to design and implement scalable data solutions
  • Monitor and tune Databricks workloads for performance and cost efficiency
  • Document solutions and contribute to engineering best practices

Required Skills & Qualifications:

  • 4+ years of experience in data engineering or a similar role
  • Strong hands-on expertise with Databricks, including Delta Lake, Unity Catalog, and PySpark
  • Advanced SQL skills, including query optimization and performance tuning
  • Experience with Azure cloud services (e.g., Azure Data Factory, Azure Data Lake Storage, Azure Synapse)
  • Strong understanding of performance optimization techniques within Databricks
  • Knowledge of Medallion architecture
  • Ability to work independently and collaborate effectively with cross-functional teams

Nice to Have:

  • Experience with data migration projects
  • Familiarity with CI/CD pipelines and DevOps practices
  • Knowledge of other orchestration tools like Apache Airflow