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Director Github Jobs in Ohio (NOW HIRING)

$102.76 - $148.43/hr

Einsatz und Weiterentwicklung von GitHub Actions, GitLab und vergleichbaren Toolchains im Delivery ... C1 Was wir dir bieten * Innovatives, modernes und anspruchsvolles Arbeitsumfeld mit flachen ...

Gen AI Architect

Columbus, OH · On-site

$85 - $90/hr

... assistants, specifically GitHub Copilot, to drive the project's success. The application ... direct supervision. Skills Required / Desired Required Amount of Experience in years Code ...

... Code, GitHub Copilot - yourself, daily. You will model that behavior for your team. AI-native development is not optional at Exostar; it's how we build. This role reports to the Director, R&D ...

$75.47 - $98.69/hr

... LWC, Github / Github Actions, Jenkins, Visual Studio / VS Code, Linux Basics (Cronjobs) und SQL ... Wir bieten dir vielfältige Möglichkeiten zur Weiterentwicklung: Unser Karrieremodell ermöglicht ...

Production Support Engineer

Cleveland, OH · Hybrid

$40.75 - $53/hr

... direct input on our application design and architecture. Finally, you will help streamline ... Tooling: Docker, GIT, Terraform, GitHub Actions, AWS, RabbitMQ * Collaboration Tools: Jira ...

Senior .Net Architect[Hybrid]

Columbus, OH · On-site

$125K - $170K/yr

Support development workflows using GitHub Enterprise. * Communicate progress, risks, and technical recommendations clearly to the IT Director and project leadership. * Perform other related duties ...

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Showing results 1-20

Director Github information

What is the difference between Director Github vs Software Engineering Manager?

AspectDirector GithubSoftware Engineering Manager
Required CredentialsTypically requires extensive experience with GitHub, open-source contributions, and leadership in software projectsUsually requires a computer science degree, software development experience, and some leadership skills
Work EnvironmentLeads strategic initiatives, oversees multiple teams, and manages high-level GitHub integrations and open-source projectsManages software development teams, oversees project delivery, and ensures coding standards
Employer & Industry UsageCommon in tech companies, open-source organizations, and enterprises heavily reliant on GitHubWidely used across tech companies, startups, and software firms for team management

The main difference is that a Director Github focuses on strategic leadership and high-level GitHub integrations, while a Software Engineering Manager manages development teams and project execution. Both roles require technical knowledge, but the Director Github emphasizes strategic oversight of GitHub-related initiatives.

Is a director GitHub a good place to work?

A director role at GitHub typically involves leadership in software development, project management, and collaboration using tools like Git and GitHub's platform. The company is known for a collaborative work environment, competitive benefits, and a focus on open-source and developer tools, making it a desirable workplace for many in the tech industry.

What are the most commonly searched types of Github jobs in Ohio?

The most popular types of Github jobs in Ohio are:

What cities in Ohio are hiring for Director Github jobs?

Cities in Ohio with the most Director Github job openings:

Infographic showing various Director Github job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Director, Data Engineering

Core Specialty

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

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We are looking for a Director, Data Engineering, to lead the continued optimization and maturation of our existing large-scale data platform. This is hands-on technical leadership role: roughly 60% of your time will be spent as a working solution architect - improving, rearchitecting, and scaling data pipelines, infrastructure, and models that power the business. The remaining 40% will be focused on strategic alignment, technical direction, and resource management for the Data Engineering team. A key part of the mandate is ensuring the platform remains AI/ML ready as it scales - well modeled and well governed so that advanced analytics teams can reliably and efficiently access high-quality data.

Reporting to the VP-Data Engineering, AI & ML, you will lead a team of Data Engineers - setting the technical execution direction while staying close enough to the architecture and code to guide hard decision, unblock the team, and ensure the platform continues to scale reliably and security as usage and AI/ML initiatives grow.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.

Key Accountabilities/Deliverables:

Solution Architecture & Hands-On Delivery

  • Own the technical evolution of our existing large-scale data platform, identifying and riving improvements to architecture, performance and scalability data volume and complexity use cases grow

  • Act as the lead solution architect for data engineering initiatives

  • Personally design, prototype, and development of frameworks and critical platform components - especially for high-risk/high complexity initiatives

  • Have a forward-thinking posture as it comes to creating an AI/ML ready data platform

  • Participate in the evaluation, selection and implementation of data platform tooling (i.e. - storage, orchestration, compute, streaming)

  • Reinforce existing data observability solutions/standards across pipelines and the platform

  • Diagnose and resolve complex production issues/technical debt across the data platform - partnering directly with other engineers to resolve.

Strategy, Technical Direction & Resource Management

  • Partner with VP-Data Engineering, AI & ML to define and execute the roadmap for a fully optimized and scalable data platform - ensuring alignment to broader company and data strategies including AI/ML readiness assessments

  • Set technical direction and architectural standards for the team by working closely with Enterprise Architecture

  • Manage, mentor, and develop data engineers

  • Participate in resource planning and prioritization across the team's product roadmap - balancing business requests with platform-based initiatives

  • Represent Data Engineering planning, budgeting, and resource management discussions as needed

  • Stay current with emerging trends in data engineering and data platform architecture - brining innovations into continued data maturity for the organization.


Technical Knowledge and Understanding:

Technical Knowledge

  • Deep expertise in data pipeline design, optimization, and distributed data processing architectures with experience identifying and resolving performance and scalability bottlenecks

  • Platforms: Hands on experience with Snowflake or Databricks (experience in an architecture role with these platforms is a plus), Azure Synapse Analytics/MS Fabric

  • Strong knowledge of cloud data platforms (AWS, Azure, or GCP) and modern data warehouse/Lakehouse architectures (Delta Lake, Iceberg)

  • Working familiarity with AI/ML data requirements and tooling to support AI/ML enablement

  • Strong working proficiency with at least two programming languages (Python, Scala, SQL)

  • Solid understanding of data governance, security, and compliance practices in a regulated or enterprise environment

  • Experience with IAC and CI/CD practices for data systems (i.e. Terraform, GitHub Actions)

Leadership & Soft Skills

  • Proven ability to set technical direction while remaining hands-on and credible at the architecture and code level

  • Strong stakeholder management skills - the ability to translate between technical and non-technical audiences

  • Excellent prioritization and resource management skills across competing technical and business demands

  • A coaching mindset with genuine investment in growing the technical and soft skills of direct reports


Requirements:

  • Bachelor Degree in Computer Science or related field or equivalent work experience.

  • 10+ years experience in data engineering with significant experience in optimizing, scaling, and evolving large-scale mature data platforms

  • 3+ years in an architect role (Solution, Enterprise, Data, Platform) with direct ownership of solution designs

  • 3+ years in a leadership role managing data engineering teams - including direct people management responsibilities

  • Working knowledge of how data platforms enable AI/ML solutions

  • Track record of balancing hands-on technical delivery with people leadership and strategic planning

Nice to Have

  • Experience designing or implementing Agentic workflows for data engineering

  • Experience working with Property & Casualty insurance carriers

  • Experience with Data Vault 2.0 or Ensemble data modeling techniques


#LI-Hybrid

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At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program