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Manager Data Engineering Jobs in Columbus, OH (NOW HIRING)

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

Senior Data Engineer

Columbus, OH · On-site

$102.40K - $139.10K/yr

Follow best practices for data management and software development lifecycle (SDLC). Required Skills & Experience * 6-8 years of overall IT/data engineering experience. * Must have: Databricks ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110.40K - $132.60K/yr

Required : • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field ... Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc.). • ...

Lead Data Engineer - Generative AI

Columbus, OH · Hybrid

$110.60K - $132.80K/yr

Ensure the reliability, availability, and scalability of data pipelines and systemsthrough effective monitoring, alerting, and incident management. Implement best practices in reliability engineering ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Engineer - GCP

Dublin, OH · On-site

$110.30K - $132.50K/yr

Partner with external consultants, solution providers, and managed services teams to deliver ... Bachelor's degree or equivalent work experience. * 8+ years of engineering experience in Big Data ...

Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

Effectively manages time and computing resources in order to deliver on time/correctly on ... Bachelor's Degree in Computer Science or Engineering; or equivalent technical training and ...

New

Data Engineer - Cloud/AI

Westerville, OH

$110.40K - $132.50K/yr

Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc ... Certifications or degrees in data engineering, computer science, or related fields The successful ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110.40K - $132.50K/yr

Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc ... Certifications or degrees in data engineering, computer science, or related fields The successful ...

Facility Manager, Data Center Operations

Columbus, OH · On-site

$161.30K/yr

Excellent people management and leadership skills. About the job The Data Center team designs and ... We are an upbeat, creative, team-oriented group of engineers committed to building and operating ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Showing results 1-20

Manager Data Engineering information

See Columbus, OH salary details

$29.9K

$93.8K

$166.1K

How much do manager data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for manager data engineering in Columbus, OH is $93,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $121,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Columbus, OH? The most popular types of Data Engineering jobs in Columbus, OH are:
What are popular job titles related to Manager Data Engineering jobs in Columbus, OH? For Manager Data Engineering jobs in Columbus, OH, the most frequently searched job titles are:
What cities near Columbus, OH are hiring for Manager Data Engineering jobs? Cities near Columbus, OH with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Columbus, OH as of May 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $93,832 per year, or $45.1 per hour.

$107.50K - $129.20K/yr

Other

Posted 20 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 LakeFlowApache 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 DatabricksDelta 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.