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Contract Databricks Developer Jobs in Columbus, OH

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Chipotle Senior Data Engineer 12+ month contract (potential for extension) Key Responsibilities ... Hands on experience with Azure data factory V2, Azure Databricks, SQLDW or Snowflake, Azure ...

Senior Data Architect

Marysville, OH · Hybrid

$61.75 - $82.75/hr

*** Only on contract W2, No C2C / 1099 *** Job Title: Senior Data Architect Location: Marysville, Ohio ... A bachelor s degree in computer science, data science, engineering, or related field . * At least ...

... with contract requirements. * Assist in ad hoc data requests for operational areas and their ... programming languages (e.g. R, Python, SAP Business Objects, SQL, Power BI, Snowflake, Databricks)

Contract Databricks Developer information

See Columbus, OH salary details

$20

$59

$76

How much do contract databricks developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for contract databricks developer in Columbus, OH is $59.39, according to ZipRecruiter salary data. Most workers in this role earn between $53.41 and $65.72 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.

What are the most commonly searched types of Databricks Developer jobs in Columbus, OH? The most popular types of Databricks Developer jobs in Columbus, OH are:
What are popular job titles related to Contract Databricks Developer jobs in Columbus, OH? For Contract Databricks Developer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Columbus, OH look for? The top searched job categories for Contract Databricks Developer jobs in Columbus, OH are:

Python Developer (AWS) || Columbus OH (Onsite) || Contract on W2

V2 Innovations

Columbus, OH • On-site

$48.50 - $67/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role: Python Developer (AWS)
Location: Columbus, OH (Onsite)
Job Type: W2 Contract
Experience: 8+ Years

Note: Only candidates with strong AWS cloud expertise will be considered for this role.
Job Description:
We are seeking an experienced Python Developer with strong AWS cloud experience to support enterprise application development and data-driven solutions. The ideal candidate will be hands-on, experienced across the full SDLC, and comfortable working in cloud-based, Agile environments.
Responsibilities:
  • Design, develop, test, and support applications using Python and PySpark
  • Build and maintain data processing solutions using Spark / PySpark and Databricks
  • Develop and deploy cloud-based solutions on AWS
  • Contribute to system design, application stability, and production support
  • Build automation and support CI/CD pipelines
  • Apply Agile practices, security standards, and resiliency principles
  • Collaborate with cross-functional teams to deliver scalable solutions

Required Skills & Qualifications:
  • 8+ years of overall software development experience
  • Strong hands-on experience with Python
  • Hands-on experience with Spark / PySpark
  • Strong experience working with AWS cloud services
  • Experience with Databricks
  • Proficiency across the Software Development Life Cycle (SDLC)
  • Experience with CI/CD, automation, and continuous delivery
  • Understanding of application security and resiliency practices
  • Experience delivering solutions in Agile environments

Nice to Have:
  • Experience building AI agents or Machine Learning solutions
  • Exposure to financial services industry systems
  • Formal training or certification in software engineering concepts

How to Apply: Interested candidates can share their updated resumes at Sudhanshu@v2innovationsinc.com
V2 Innovations Inc is an Equal Opportunity Employer and welcomes applicants from all backgrounds. We provide equal employment opportunities to all employees and applicants and comply with all EEO and affirmative action guidelines, embracing diversity, inclusion, and fairness in our hiring process. Diversity fuels innovation. Inclusion powers success.