ZipRecruiter

Log In

1

Databricks Engineer Jobs in Columbus, OH (NOW HIRING)

Immuta

Sr. Software Engineer (Agentic Access)

Columbus, OH · Remote

$155K - $170K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst ... Our Engineering Team builds the technologies that power this mission -- enabling global enterprises ...

Immuta

Sr. Software Engineer (Agentic Access)

Columbus, OH · On-site

$155K - $170K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta ... Our Engineering Team builds the technologies that power this mission - enabling global enterprises ...

Pwc

Data Engineer - Senior Associate

Columbus, OH · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

J.P. Morgan

Sr Lead Software Engineer

Columbus, OH · On-site

As a Senior Lead Software Engineer at JPMorganChase within Employee Compute, you are an integral ... Experience with cloud platforms (AWS, Azure, or GCP) and data and AI platforms such as Databricks ...

JP Morgan Chase

Sr Lead Software Engineer

Columbus, OH · On-site

As a Senior Lead Software Engineer at JPMorganChase within Employee Compute, you are an integral ... Experience with cloud platforms (AWS, Azure, or GCP) and data and AI platforms such as Databricks ...

Chipotle

Data Platform Engineer

Columbus, OH

$87K - $120K/yr

... Databricks and Snowflake. * Implement automated deployment pipelines using Azure DevOps to ... streamline infrastructure and code deployments for efficiency, reliability, and scalability.

previous page

Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Columbus, OH

Databricks Engineer information

See Columbus, OH salary details

$54.6K

$102.5K

$186.3K

How much do databricks engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for databricks engineer in Columbus, OH is $102,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $121,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Columbus, OH? For Databricks Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Columbus, OH look for? The top searched job categories for Databricks Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Databricks Engineer jobs? Cities near Columbus, OH with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Columbus, OH as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $102,456 per year, or $49.3 per hour.

Sr. Software Engineer (Agentic Access)

Immuta

Columbus, OH • Remote

$155K - $170K/yr

Full-time

Re-posted 29 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.
 
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.