ZipRecruiter

Log In

1

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

Pwc

Data Engineer - Manager

Columbus, OH

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Intellisoft Technologies

data engineer

Columbus, OH · On-site

$107K - $128.50K/yr

... management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks * 4+ years of ...

Columbus Crew

Manager, Data Analysis

Columbus, OH

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

Columbus Crew

Manager, Data Analysis

Columbus, OH · On-site

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

AEG

Manager, Data Analysis

Columbus, OH · On-site

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... programming or scripting languages such as Python or R • Experience mentoring or supporting the ...

EASE Logistics

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

... engineering strategies, optimizing performance while managing cloud consumption and storage expenses. • Maintain and enhance a semantic data layer or curated datasets to support self-service BI ...

Ease Logistics

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

... engineering strategies, optimizing performance while managing cloud consumption and storage expenses. • Maintain and enhance a semantic data layer or curated datasets to support self-service BI ...

EASE Logistics

Data Engineer

Dublin, OH

$108.10K - $129.80K/yr

... engineering strategies, optimizing performance while managing cloud consumption and storage expenses. · Maintain and enhance a semantic data layer or curated datasets to support self-service BI ...

DHL

Lead Data Engineer

Columbus, OH · On-site

... data engineering or equivalent role * Strong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server). * Proven experience in data pipeline development and ...

Chipotle

Lead Engineer, Data Engineering

Columbus, OH

$116K - $162.50K/yr

Responsibilities include building data engineering solutions and processes to enable analytics ... Manage code versions and deployment processes in source control and coordinate changes across teams.

Georgia IT Inc

Data Engineer- Columbus OH

Columbus, OH · Remote

$107K - $128.50K/yr

Applies data transformation and other data-engineering software development capabilities to contribute to the building of new scientific information management systems supporting scientific database ...

NiSource, Inc.

Manager Data and Analytics

Columbus, OH · On-site

$133.40K - $200.10K/yr

Manager of Data and Analytics Full Time Perm Salary: $133,400 - $200,100, plus 15% annual bonus Way ... data engineering, data prep, data governance, data stewardship, visualization, alerting and ...

Genesis10

Lead Data Engineer

Columbus, OH

$60 - $68/hr

... management disciplines, including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks * 7 years of ...

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

... management disciplines, including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks * 7 years of ...

next page

Showing results 1-20

People also search for

All JobsManager Data Engineering JobsManager Data Engineering Jobs in Columbus, OH

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 28, 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 job categories do people searching Manager Data Engineering jobs in Columbus, OH look for? The top searched job categories for Manager Data Engineering jobs in Columbus, OH 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:
Manager Data Engineering jobs near you
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.

Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

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

Job description

Client - Lululemon
Data Engineer - Data Engineering
Location: Columbus, Ohio (On-site / Hybrid)
Role Type: Individual Contributor
Role Summary We are seeking a skilled Data Engineer with 5 years of hands-on experience building and maintaining robust data pipelines, data lakes, and analytical platforms. Based in Ohio, this is an individual contributor role with direct engagement with business stakeholders across lululemon's Ohio-based operations. The successful candidate will own end-to-end data engineering deliverables independently, translating business requirements into scalable, production-grade data solutions that power analytics and AI/ML workloads.
Key Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines using Python, Apache Spark, and Azure Data Factory to ingest data from diverse retail and operational sources into a centralised data lake (Microsoft Fabric / OneLake)
  • Engage directly with Ohio-based business teams (supply chain, store operations, finance, and merchandising) to gather data requirements, understand domain logic, and translate business needs into well-defined data models and pipeline specifications
  • Independently own the full data engineering lifecycle for assigned domains - from requirements gathering and data modelling through to pipeline deployment, monitoring, and ongoing optimisation
  • Build and manage Bronze, Silver, and Gold data layers in the lakehouse architecture, applying data quality checks, schema validation, and partitioning strategies to ensure reliable, performant datasets for downstream analytics and ML teams
  • Participate actively in agile ceremonies (sprint planning, stand-ups, retrospectives), self-manage delivery against sprint commitments, and proactively surface risks or blockers without requiring escalation
  • Implement and enforce data quality frameworks, lineage tracking, and cataloguing standards using Microsoft Purview, ensuring datasets meet governance and compliance requirements (GDPR, CCPA)
  • Support and contribute to Global Fulfillment and supply chain data initiatives, acting as the primary data engineering liaison for Ohio-based operational teams and ensuring timely delivery of data products that enable real-time decision-making
  • Stay current with emerging data engineering tools, patterns (e.g. data mesh, streaming architectures), and Microsoft Fabric capabilities; apply relevant advancements to continuously improve the data platform
    Qualifications
  • 5+ years of hands-on experience as a Data Engineer, with a proven track record of independently delivering production-grade data pipelines and data products in a cloud-based environment
  • Proficiency in Python and SQL for data transformation, with hands-on experience using Apache Spark (PySpark) for large-scale batch and streaming data processing
  • Solid understanding of data modelling concepts (dimensional modelling, star/snowflake schema, data vault) and experience building lakehouse architectures with Delta Lake or Apache Iceberg
  • Demonstrated ability to work directly with non-technical business stakeholders - gathering requirements, explaining data concepts in plain language, and iterating quickly on feedback to deliver business value
  • Experience with version control (Git), CI/CD pipelines, and DataOps practices - including automated testing of data pipelines and Infrastructure-as-Code (Terraform or Bicep)
  • Familiarity with data governance frameworks, data cataloguing (Microsoft Purview or Apache Atlas), and implementing data quality rules and observability monitoring within pipelines
  • Strong analytical mindset, attention to detail, and self-starter attitude - comfortable driving work forward independently in a fast-paced retail technology environment with minimal day-to-day supervision

Apply