Top 67 Software engineer big data python /java , databricks Jobs in Cincinnati, Oh

Director, Data Engineering
Core Specialty —Cincinnati, OH
- Full-time
- Computer science
- Computer Science
- AWS
- Wellness program
- Health savings account
Senior Manager Data Lead
Deloitte —Cincinnati, OH
- $193,725 - $322,875 a year
- Full-time
- Oracle
- Up to 50% travel
- Presentation skills
Kinaxis Manager
Deloitte —Cincinnati, OH
- $141,200 - $278,300 a year
- Full-time
- Computer Science
- Up to 50% travel
- ERP systems
Vice President, Sales Executive - Databricks (Consumer Industry) - C_MAT
Deloitte —Cincinnati, OH
- $171,600 - $338,300 a year
- Full-time
- AWS
- Travel
- Mentoring
Specialist Lead, Channel Sales - Databricks - C_MAT
Deloitte —Cincinnati, OH
- $100,400 - $197,900 a year
- Full-time
- Up to 50% travel
- 3 years
- Analysis skills
13d
Vice President, Sales Executive - Databricks - C_MAT
Deloitte —Cincinnati, OH
- $171,600 - $338,300 a year
- Full-time
- Up to 50% travel
- Analysis skills
- Bachelor's degree
Specialist Manager, Channel Sales - Databricks - C_MAT
Deloitte —Cincinnati, OH
- $122,000 - $240,500 a year
- Full-time
- Up to 50% travel
- 5 years
- Analysis skills
13d
Sr Engineer, Data
Ensemble RCM LLC —Blue Ash, OH
- $101,600 - $175,200 a year
- Full-time
- Azure
- 6 years
- SQL
- Tuition reimbursement
Data Scientist
Kemper Insurance —Cincinnati, OH
- $93,300 - $155,200 a year
- Full-time
- Hybrid work
- Azure
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
11d
US LBM Cybersecurity Engineer – Azure DevSecOps
US LBM Holdings —United States
- $115,000 - $130,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply

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Director, Data Engineering

Core Specialty -
Cincinnati, OH

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Job Details

Full-time

Benefits

Wellness program
Health savings account
Disability insurance
Health insurance
Dental insurance
Flexible spending account
401(k) 6% Match
Employee assistance program
Vision insurance
401(k) matching
Opportunities for advancement

Qualifications

Managerial strategic planning
System performance optimization
AI tools proficiency
Managing IT teams
Scalable systems
Managing data teams
Data Architecture Design (Architecture design skills)
Managing engineering teams
Scalability
Data performance optimization
Project leadership
Design (software development lifecycle)
Stakeholder relationship building
Stakeholder management

Full Job Description

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

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

Apply Now

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software engineer big data python /java , databricks jobs in cincinnati, oh

Director, Data Engineering

Senior Manager Data Lead

Kinaxis Manager

Vice President, Sales Executive - Databricks (Consumer Industry) - C_MAT

Specialist Lead, Channel Sales - Databricks - C_MAT

Vice President, Sales Executive - Databricks - C_MAT

Specialist Manager, Channel Sales - Databricks - C_MAT

Sr Engineer, Data

Data Scientist

US LBM Cybersecurity Engineer – Azure DevSecOps

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