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Databricks Engineer Jobs in Columbus, OH (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

SUNRAY INFORMATICS

Sr. Databricks Developer

Columbus, OH · On-site

$51 - $67.25/hr

Role : Sr. Databricks Developer Location: Columbus, OH Duration: 12 Months MOI : Telephonic & WebCam Primary Skills: SQL, Python, AWS & PYSPARK Need Candidates with a Minimum of 9 Years of Experience.

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Deloitte

Databricks Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Manager

Columbus, OH · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

MCKESSON

Sr Data Architect, Databricks

Columbus, OH · On-site +1

$65 - $87/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

Deloitte

Databricks Manager

Columbus, OH

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

McKesson

Sr Data Architect, Databricks

Columbus, OH · On-site +1

$65 - $87/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

McKesson

Sr Data Architect, Databricks

Columbus, OH · On-site +1

$65 - $87/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

Purple Drive Technologies

AI/ML Engineer

Dublin, OH · On-site

AI/ML Engineer Location: Dublin, OH Duration: 6 months Skills - Azure Cognitive Services integration - Databricks and SQL Server - Offline Open-Weight Model Usage - Databricks Foundational model ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

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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 Jun 18, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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, and why are they important?

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 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 June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $102,456 per year, or $49.3 per hour.

AWS Databricks Engineer

Purple Drive Technologies

Columbus, OH • On-site

Full-time

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

Job description

Overview:
Role: AWS Databricks Engineer
Location: Chicago, IL
Job Description:
• 12+ years of overall experience in data engineering, cloud architecture, or analytics platforms.
• Strong expertise in AWS big-data stack and Databricks Lakehouse.
• Hands-on experience building enterprise-grade data platforms and multi-zone Lakehouse architectures.
Deep knowledge of:
o Spark optimization
o Delta Lake internals
o Data modeling for Customer 360 / MDM
o Data quality & observability
• Strong understanding of zero-trust security, compliance, and enterprise governance.
• Strong scripting/programming in Python, PySpark, SQL.

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