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Manager Databricks Data Engineer Jobs in Ohio (NOW HIRING)

McKesson

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

McKesson

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

CoverMyMeds

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

McKesson Corporation

Data Engineer

Columbus, OH · On-site

$107K - $128K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

CoverMyMeds

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

McKesson Corporation

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

Guidehouse

Data Engineer

Beavercreek, OH

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with ...

Guidehouse

Data Engineer

Beavercreek, OH

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Basic understanding ...

Guidehouse

Data Engineer Lead

Beavercreek, OH · On-site

Experience with Databricks, Snowflake, or similar distributed data processing platforms. * Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps practices.

PartsSource

Senior Data Engineer

Hudson, OH

$96K - $131K/yr

Design, develop, and optimize ETL/ELT pipelines using SQL, Python, Talend, and Databricks to ... Clear & Critical Thinking, Relationship Management Adapt to Thrive * You pick up new platforms and ...

Smart Data

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure ... Databricks and Azure Data Explorer. Will stage, transform, and load structured and semi-structured ...

Kanak Elite Services Inc

Lead Data Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

LEAD DATABRICKS ENGINEER LOCATION: CINCINNATI, OH (HYBRID) IMMEDIATE HIRE | F2F INTERVIEW | RAVEL ... Azure Databricks PySpark Delta Lake Unity Catalog CI/CD (Data Engineering) Enterprise Data ...

PartsSource

Senior Data Engineer

Hudson, OH · On-site

$96K - $131K/yr

PartsSource is the leading technology and software platform for managing mission-critical health ... Guide the phased replacement of Talend with Databricks-native processes; assist in evaluating and ...

Kanak Elite Services Inc

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

SENIOR DATA ENGINEER Location: Cincinnati, OH - Onsite Contract Interview: onsite interview for the final round (12+ yrs exp) skilled in Azure, Databricks, Unity Catalog, Delta Tables, and Data Lake ...

Unternehmensgruppe Theo Müller

$102.76 - $137.02/hr

Wir suchen Sie in Aretsried (bei Augsburg) oder in Freising (bei München)als Senior Data Engineer Azure & Databricks (m/w/d). * Sie entwickeln und betreiben Datenlösungen auf Azure Databricks und ...

Guidehouse

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other ... Ability to independently manage technical tasks and collaborate effectively across teams.

Guidehouse

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other ... Ability to independently manage technical tasks and collaborate effectively across teams.

McKesson Corporation

Data Architect, Databricks

Columbus, OH · On-site

$61.50 - $79.25/hr

... management * Evaluate and recommend platform tooling (build vs. buy decisions) * Mentor engineers ... data engineering and data architecture * Proven experience building and scaling Databricks ...

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Showing results 21-40

All JobsDatabricks Data Engineer JobsManager Databricks Data Engineer JobsManager Databricks Data Engineer Jobs in Ohio

Manager Databricks Data Engineer information

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

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

What are the most commonly searched types of Databricks Data Engineer jobs in Ohio?

The most popular types of Databricks Data Engineer jobs in Ohio are:

What are popular job titles related to Manager Databricks Data Engineer jobs in Ohio?

For Manager Databricks Data Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Manager Databricks Data Engineer jobs in Ohio look for?

The top searched job categories for Manager Databricks Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Manager Databricks Data Engineer jobs?

Cities in Ohio with the most Manager Databricks Data Engineer job openings:

Manager Databricks Data Engineer jobs near you
Infographic showing various Manager Databricks Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

MLOps Engineer (Databricks/AWS)

Inabia Solutions and Consulting, Inc.

Columbus, OH • On-site

Contractor

Re-posted 23 hours ago

Job description

Overview
Inabia is seeking an MLOps Engineer (Databricks/AWS) to design, develop, and maintain end-to-end machine learning operations pipelines on Databricks running on AWS. This role demands deep hands-on expertise with Databricks Machine Learning, MLflow, and a broad suite of AWS services to build scalable, production-grade ML systems. The ideal candidate will partner closely with Data Scientists, Data Engineers, and Platform Engineering teams to productionize models and ensure robust, governed, and cost-efficient deployments.
Locations: Columbus, OH - Dallas, TX - Atlanta, GA (Onsite only)
Responsibilities
  • Design, develop, and maintain end-to-end MLOps pipelines on Databricks running on AWS.
  • Build and automate machine learning workflows covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
  • Deploy and manage ML models using MLflow Model Registry and Databricks Model Serving.
  • Develop and maintain CI/CD pipelines for ML solutions across development, staging, and production environments.
  • Collaborate with Data Scientists to productionize machine learning models and ensure reliable, repeatable deployments.
  • Monitor model health, prediction quality, data drift, and system performance, and implement automated retraining strategies where required.
  • Optimize Databricks workloads for performance, scalability, and cost efficiency.
  • Implement Infrastructure as Code using Terraform to provision and manage Databricks and AWS resources.
  • Ensure platform security, governance, and compliance using Unity Catalog and AWS IAM.
  • Troubleshoot production issues, perform root cause analysis, and continuously improve platform reliability.
  • Document MLOps processes, deployment standards, and operational best practices.

Key Qualifications
  • 10+ years of relevant experience in MLOps or a closely related data/ML engineering discipline.
  • Strong hands-on experience with Databricks Machine Learning.
  • Proficiency in Python, PySpark, and SQL for developing and operationalizing machine learning solutions.
  • Hands-on experience with MLflow for experiment tracking, model registry, model versioning, and lifecycle management.
  • Experience deploying and managing machine learning models using Databricks Model Serving and batch inference pipelines.
  • Strong understanding of the end-to-end ML lifecycle, including feature engineering, training, validation, deployment, monitoring, and retraining.
  • Experience building scalable ML pipelines using Databricks Workflows and Delta Lake.
  • Hands-on experience with AWS services including S3, IAM, EC2, Lambda, ECR, ECS/EKS, CloudWatch, and Secrets Manager.
  • Experience implementing CI/CD pipelines for Databricks and ML workloads using Git, Bitbucket, Jenkins, and Databricks Asset Bundles (DAB).
  • Experience with infrastructure automation using Terraform.
  • Strong understanding of Apache Spark architecture, optimization, and distributed data processing.
  • Experience working with Unity Catalog for governance, security, and access management.
  • Knowledge of model monitoring, data drift detection, and automated retraining strategies.
  • Understanding of MLOps best practices including reproducibility, versioning, testing, and governance.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with multi-environment Databricks deployments spanning development, staging, and production.
  • Familiarity with cost optimization strategies for large-scale Databricks and AWS workloads.
  • Prior experience documenting MLOps operational standards for cross-functional teams.

Apply