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Databricks Engineer Jobs in Columbus, OH (NOW HIRING)

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/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 ...

Lead Data Engineer

Columbus, OH

$110.60K - $132.80K/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 ...

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/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 ...

Senior Data Engineer

Columbus, OH · On-site

$102.40K - $139.10K/yr

Role Overview We are seeking a Data Engineer with strong expertise in Databricks, Python, and PySpark , coupled with experience in CI/CD pipelines. The ideal candidate will have a solid background in ...

Java Microservices Developer

Columbus, OH · On-site

$49.25 - $63.75/hr

Java Microservices Developer Location : Columbus, OH Onsite Duration : 6+ months Roles and ... Utilize Pyspark and Databricks for data processing and analytics. * Ensure the performance, quality ...

Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

The Data Engineer will take a prominent role in leading full stack development projects ... Create efficient data pipelines using tools like Azure Data Factory, Databricks, and AWS, focusing ...

New

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and ... engineering, analytics engineering, or modern data platform environments * 4+ years hands-on ...

Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta ... As Immuta continues to grow, the SRE team plays a key role in ensuring platform stability ...

Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ... As Immuta continues to grow, the SRE team plays a key role in ensuring platform stability ...

Sr. Site Reliability Engineer

Columbus, OH · Hybrid

$55 - $73.25/hr

Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ... As Immuta continues to grow, the SRE team plays a key role in ensuring platform stability ...

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and ... engineering, analytics engineering, or modern data platform environments * 4+ years hands-on ...

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and ... engineering, analytics engineering, or modern data platform environments * 4+ years hands-on ...

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and ... engineering, analytics engineering, or modern data platform environments * 4+ years hands-on ...

Data Engineer

Columbus, OH · Remote

$125K - $155K/yr

This role blends hands-on data engineering, platform administration, and environment optimization ... Candidates with strong backgrounds in Databricks, Snowflake, or similar modern data platforms ...

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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 May 30, 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 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 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.

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, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.
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:
Infographic showing various Databricks Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,456 per year, or $49.3 per hour.

$107.50K - $129.20K/yr

Full-time

Posted 21 days ago


FlightSafety International rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

12th of 189 rated education and training


Job description

About FlightSafety International
FlightSafety International is the world's premier professional aviation training company and supplier of flight simulators, visual systems and displays to commercial, government and military organizations. The company provides training for pilots, technicians and other aviation professionals from 167 countries and independent territories. FlightSafety operates the world's largest fleet of advanced full-flight simulators and award-winning maintenance training at Learning Centers and training locations in the United States, Canada, France and the United Kingdom.
Purpose of Position
The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based environment. This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers, ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a key role in strategic initiatives, driving the design and delivery of scalable data platforms, and enabling actionable insights through advanced Power BI dashboards and reports.
Tasks and Responsibilities
  • Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals
  • Provide technical mentorship and guidance to Senior Data Engineers and Senior Analytics Engineers
  • Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and DBT
  • Lead the development of Data Vault 2.0 models and ensure consistency across projects
  • Architect and orchestrate data workflows using Databricks LakeFlow, Apache Airflow, and ADF
  • Oversee data ingestion and replication strategies using tools such as Fivetran, SQDR, Rivery, or custom Python scripts
  • Develop and optimize Power BI dashboards, reports, and semantic models to support business intelligence and self-service analytics
  • Collaborate with business stakeholders, architects, and analysts to translate requirements into technical solutions
  • Ensure data quality, governance, and security standards are met across all data products
  • Lead code reviews, enforce development standards, and promote best practices in data engineering and analytics
  • Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting assets
  • Troubleshoot and resolve complex data issues in production and development environments
  • Contribute to enterprise data strategy and participate in architectural review boards
  • Maintain documentation for data architecture, pipelines, and reporting solutions
  • Infrequent travel as needed

Minimum Education
  • Bachelor's degree from an accredited institution or equivalent industry experience

Minimum Experience
  • 12+ years of experience in data engineering or software development roles
  • 3+ years in a technical leadership or lead engineer capacity
  • 5+ years of experience with Azure Data Factory and Azure Data Lake Storage
  • 3+ years of experience with Databricks, Delta Live Tables, and Unity Catalog
  • 3+ years of experience with Power BI dashboard and report development
  • 2+ years of experience with DBT and Apache Airflow
  • Experience with Data Vault 2.0 modeling (certification preferred)
  • Strong experience with Python, PySpark, and SQL

Knowledge, Skills, Abilities
  • Deep expertise in cloud data platforms, especially Azure and Databricks
  • Strong understanding of ELT/ETL, data modeling, and data warehousing principles
  • Proven ability to lead and mentor technical teams in a collaborative environment
  • Advanced skills in Power BI, including DAX, Power Query, and data modeling
  • Experience with data ingestion and replication tools (e.g., Fivetran, SQDR, Rivery)
  • Proficiency in Python, PySpark, and SQL for data transformation and automation
  • Experience orchestrating workflows using Apache Airflow and Databricks LakeFlow
  • Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS)
  • Strong communication and stakeholder engagement skills
  • Knowledge of data governance, metadata management, and compliance frameworks
  • Experience with Agile/Scrum methodologies
  • Exposure to AI/ML tools and concepts within Databricks is a plus
  • Experience in Education or Aviation industries is a plus

Physical Demands and Work Environment
The physical demands and work environment described here are representative of those that must be met and/or encountered by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and communicate. The employee may be required to stand, walk, and sit. Specific vision abilities required by this job include the ability to view monitors, technical documents, and reference material. The employee must occasionally lift or move up to 25 pounds. The noise level in the work environment is usually low to moderate.
FlightSafety is an Equal Opportunity Employer/Vet/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Any offer of employment is contingent upon successful completion of required compliance reviews, including verification that the candidate is not prohibited from employment under U.S. economic sanctions programs administered by the U.S. Department of the Treasury's Office of Foreign Assets Control (OFAC).
This position may require access to export-controlled technology or services subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). Employment consideration and any offer of employment are contingent upon the applicant's ability to comply with these requirements, including qualifying as a "U.S. Person" under applicable regulations or otherwise eligible for export authorization within a timeframe consistent with business needs. A "U.S. Person" includes U.S. citizens, lawful permanent residents (holders of approved and unexpired green cards), and certain refugees or asylees with protected status under U.S. law.
This position may also require eligibility to obtain and maintain a U.S. Government security clearance for the duration of employment.
Cybersecurity Notice: All official recruiting communication from FlightSafety International will come from an @flightsafety.com email address. FlightSafety International will never ask for personal or financial information through social media or third-party email providers.