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Databricks Engineer Jobs in Dublin, OH (NOW HIRING)

Immuta

Sr. IT Systems Engineer

Columbus, OH · Hybrid

$110K - $125K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst ... ABOUT THE ROLE This engineering role focuses on building solutions that serve the organization. You ...

New

Immuta

Sr. IT Systems Engineer

Columbus, OH · Hybrid

$100K - $138K/yr

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta ... ABOUT THE ROLE This engineering role focuses on building solutions that serve the organization. You ...

Immuta

Sr. IT Systems Engineer

Columbus, OH · On-site

$110K - $125K/yr

Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ... ABOUT THE ROLE This engineering role focuses on building solutions that serve the organization. You ...

Select Sires Inc.

Database Administrator

Plain City, OH · On-site

Familiarity with Databricks and its application in data engineering and analytics. * Strong understanding of database design principles and best practices. * Strong understanding of automation: Data ...

New

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Spark, Databricks, or cloud-native services) to process large-scale security or operational ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Dublin, OH

Databricks Engineer information

See Dublin, OH salary details

$57.3K

$107.6K

$195.6K

How much do databricks engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for databricks engineer in Dublin, OH is $107,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $127,700.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Dublin, OH?

For Databricks Engineer jobs in Dublin, OH, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Dublin, OH look for?

The top searched job categories for Databricks Engineer jobs in Dublin, OH are:

What cities near Dublin, OH are hiring for Databricks Engineer jobs?

Cities near Dublin, OH with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Dublin, OH as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $107,553 per year, or $51.7 per hour.

Lead Software Engineer - Ab Initio

JPMorgan Chase & Co

Columbus, OH

Full-time

Medical, Retirement

Re-posted 7 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description


Build the data foundations that enable trusted insights, stronger controls, and better outcomes across the firm through scalable, well-governed data platforms.

As a Lead Software Engineer at JPMorganChase within Corporate Technology's Data Governance and Controls Technology team, you will design and deliver secure, resilient, and high-performing data solutions that improve how data is governed, accessed, and used. You will partner across business, analytics, and technology teams, while mentoring engineers and setting technical standards that raise quality and reliability at scale.

Job responsibilities

  • Design and deliver scalable batch data pipelines with strong performance, fault tolerance, and end-to-end observability.
  • Develop and operate workflow orchestration to schedule, monitor, and manage data movement and transformations with clear operational ownership.
  • Translate complex business requirements into technical solutions aligned to data lake and data warehousing standards.
  • Establish and maintain governance processes for data modeling, cataloging, ownership, lineage, and access control to improve trust and transparency.
  • Optimize large-scale distributed processing workloads through performance tuning, efficient storage/compute patterns, and resilient runtime design.
  • Mentor engineers through technical reviews, standards, and knowledge sharing to strengthen engineering excellence and consistency.
  • Perform advanced quantitative analysis on large datasets to uncover trends and drive data-informed decisions.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and pipeline analysis (e.g., drafting documentation), validating outputs and handling data according to sensitivity and security requirements.
  • Applies reuse-first, AI-assisted practices within SDLC/toolchain automation to reduce manual toil while maintaining security, resiliency, and traceability/auditability expectations.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 5+ years of data engineering experience building and operating production-grade data pipelines in cloud environments.
  • Deep expertise with Amazon Web Services data platforms and data lake architectures, including hands-on experience with Ab Initio.
  • Hands-on experience with modern data lake and warehousing technologies (for example, Databricks and Snowflake) and processing engines such as Spark and Flink.
  • Proficiency in SQL and experience with Oracle Database plus one or more scripting/programming languages (for example, Java, Perl, or Unix scripting).
  • Experience applying Agile delivery practices, including prioritizing backlogs and leading team ceremonies to drive continuous improvement.
  • Experience with large-scale distributed data processing, performance tuning, and reliability practices (monitoring, alerting, and incident response readiness).
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

  • Experience with data modeling using Erwin.
  • Amazon Web Services certification and/or Databricks certification.
  • 8+ years of overall experience, including a strong track record as an individual contributor and demonstrated experience leading technical direction for teams.
  • Experience implementing data governance capabilities (for example, data cataloging, lineage, stewardship workflows, and access controls) in enterprise environments.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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