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Databricks Developer Jobs in Columbus, OH (NOW HIRING)

Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ... Our Engineering Team builds the technologies that power this mission - enabling global enterprises ...

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta ... You will also play a key role in improving developer experience by building and maintaining ...

Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ... You will also play a key role in improving developer experience by building and maintaining ...

Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ... You will also play a key role in improving developer experience by building and maintaining ...

Configure and integrate Immuta with modern data platforms, catalogs, and IDM tools -- including Snowflake, Databricks, and BigQuery. * Collaborate with Customer Success and Sales Engineering teams to ...

Configure and integrate Immuta with modern data platforms, catalogs, and IDM tools - including Snowflake, Databricks, and BigQuery. * Collaborate with Customer Success and Sales Engineering teams to ...

Configure and integrate Immuta with modern data platforms, catalogs, and IDM tools - including Snowflake, Databricks, and BigQuery. * Collaborate with Customer Success and Sales Engineering teams to ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for 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 typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
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 Databricks Developer jobs in Columbus, OH? For Databricks Developer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Columbus, OH look for? The top searched job categories for Databricks Developer jobs in Columbus, OH are:
Sr. Software Engineer (Agentic Access)

Sr. Software Engineer (Agentic Access)

Immuta

Columbus, OH • On-site

$155K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Immuta is the Data Provisioning Company, helping organizations provision secure, governed data access at the speed modern business demands. We automate access by policy and by request-eliminating tickets, reducing risk, and enabling both humans and AI systems to work with data safely and instantly.
Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide and operates as a hybrid workplace globally.
• Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst.
• Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and BuiltIn as one of the best workplaces, and by Fast Company as one of the top 50 most innovative companies.
• $267 million in total funding. Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.
• A hybrid workplace with offices in Boston, MA; Columbus, Ohio; College Park, Maryland.
ABOUT OUR TEAM
At Immuta, we're on a mission to make data secure, accessible, and trusted for every organization. Our Engineering Team builds the technologies that power this mission - enabling global enterprises to automate data access control, privacy enforcement, and policy management across modern cloud ecosystems.
YOUR ROLE
As a Senior Software Engineer on the Agentic Access team, you'll play a key role in designing, building, and evolving the AI systems that underpin Immuta's data governance platform. You'll work at the intersection of AI and data security - building the foundational capabilities that allow autonomous agents to discover, authenticate against, and securely access governed data.
You'll collaborate with other engineers, product managers, and designers to architect scalable solutions, guide technical direction, and mentor peers in best practices. This is a hands-on, highly impactful role for someone who enjoys balancing deep technical work with product impact and wants to help define how AI interacts with enterprise data.
HOW YOU'LL MAKE AN IMPACT
  • Architect and Build Scalable Systems: Design and develop new applications and workflows that deliver high reliability and performance.
  • Improve Performance at Scale: Identify bottlenecks, tune Postgres queries, and optimize system performance as data volumes grow.
  • Mentor and Guide: Provide technical leadership, mentoring junior engineers and fostering a culture of learning and excellence.
  • Influence Technical Direction: Improve engineering processes through automation, testing, and continuous delivery.

WHAT YOU'LL OWN
  • Design, build, and deliver backend services and distributed workflows that power Immuta's core platform.
  • Build and operate services that integrate with modern data platforms such as Snowflake, Databricks, Starburst, and Redshift.
  • Implement and maintain TypeScript-based microservices, RESTful APIs, and Temporal workflows.
  • Own Postgres performance and reliability, including query authoring, tuning (configuration of memory and buffers, WAL tuning, and table design), benchmarking, and schema design.
  • Deploy and operate microservices in Kubernetes-based environments, using tools like Skaffold and Flux to support modern CI/CD workflows, with a focus on scalability and reliability.
  • Participation in code reviews, design discussions, and system architecture planning.

WHAT WILL MAKE YOU STAND OUT
  • Experience: 5-8 years of software engineering experience in SaaS, cloud, or data-intensive environments; Bachelor's or Master's degree in Computer Science or a related field is preferred.
  • Languages & Frameworks: Strong proficiency in TypeScript and Node.js, with experience building backend services and data-driven applications.
  • Architecture Expertise: Hands-on experience designing and operating microservice and distributed systems, including asynchronous or long-running workflows (e.g., Temporal or similar systems) and API design.
  • Data & Cloud Platforms: Experience working with Postgres, including writing and tuning SQL for performance, and deploying services using Docker and Kubernetes in cloud environments (AWS, Azure, or GCP).
  • Team Dynamic: Excellent communicator who is curious, self-directed, and passionate about building high-quality software that drives measurable customer values.

$155,000 - $170,000 a year
To provide greater transparency to candidates, we share base pay ranges for all U.S.-based job postings. Our salary ranges are based on function, level, and geographic location, and are benchmarked for our company size and industry.
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including but not limited to, geographic location, internal equity, experience level, skill set, and training. The range shown above reflects the good-faith hiring range for this role at the time of posting, consistent with applicable state and local pay-transparency laws. Pay ranges may be adjusted in the future to reflect market changes.
This role may also be eligible for additional compensation, such as commission, variable pay, or equity, and comprehensive benefits, including medical, dental, vision, a 401(k) plan, and other applicable company programs.
Benefits
At Immuta, our goal is to help bridge the gap between personal and professional growth, so that our team members can be well and thrive personally and professionally. After all, great professional success stories rarely happen without great personal success stories! Our generous benefits package given to all full time employees includes:
- 100% employer paid Healthcare (Medical, Dental, Vision) premiums for you and your dependents (including Domestic Partners)
- Stock Options
- Paid parental leave (Both Maternity and Paternity)
- Unlimited Paid time off (U.S. based positions)
- Learning and Development Resources
Immuta provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, marital status, age, disability (including disability due to pregnancy) or genetics, protected veteran status, or any other characteristic protected by law. Immuta complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment.
NOTICE TO THIRD PARTY RECRUITERS: Immuta does not accept candidates from third party recruiters. All candidates submitted through are considered to be submissions by the candidate and no submission will obligate Immuta to pay any third party for the referral or hiring of a candidate.
AI NOTICE: As part of our hiring process, Immuta may use artificial intelligence (AI) tools to support recruiting activities, such as application review and interview coordination. These tools assist our recruiting team but do not replace human decision-making.To protect the privacy of all participants and the confidentiality of Immuta information discussed during interviews, candidates may not use external recording tools, AI meeting assistants, or third-party transcription platforms during interviews unless approved in advance by Immuta.If you require an accessibility accommodation or assistance during the interview process, please contact us in advance so we can support your needs appropriately.For more information on how we process your personal data, please visit our Privacy Notice for Job Applicants.