ZipRecruiter

Log In

1

Data Engineering Jobs in Mason, OH (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data ...

Guidehouse

Data Engineer

Beavercreek, OH · On-site

$53K - $88K/yr

Experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline. * Experience in programming languages such as Python, Java, or SQL.

Guidehouse

Data Engineer

Beavercreek, OH

$53K - $88K/yr

The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative ...

Smart Data

2245 Data Engineer III

Cincinnati, OH

$109K - $132K/yr

Business Intellgience - Data Engineering * Data Build Tool (DBT) for Development & Maintenance of Data Models * DataStage Nice To Have * Encompass * Home Equity Line of Credit (HELOC) * Mortgage ...

Total Quality Logistics

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Working across Finance, Data Engineering, BI, and IT, the role translates defined reporting needs into practical, documented, and maintainable technical solutions. This position contributes directly ...

New

Medpace

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

... engineering tasks and projects crucial for the company's success. Responsibilities : • Utilize skills in development areas including data warehousing, business intelligence, and databases ...

Guidehouse

Data Engineer Lead

Beavercreek, OH · On-site

Define technical architecture, engineering standards, and best practices for data integration, storage, processing, and governance. * Architect and oversee the implementation of scalable ETL/ELT ...

Guidehouse

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative ...

TQL

Data Engineer I - Finance

Cincinnati, OH · On-site

$109K - $131K/yr

Working across Finance, Data Engineering, BI, and IT, the role translates defined reporting needs into practical, documented, and maintainable technical solutions. This position contributes directly ...

New

ComResource

Data Engineer

Cincinnati, OH

$109K - $131K/yr

We need someone to assist in calculating FDIC insurance at the customer and bank levels using traditional and modern data engineering tools. This role requires a technical professional who can also ...

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Support data engineering needs for predictive analytics and machine learning initiatives, including feature engineering, data preparation, and model enablement * Assist in modernizing data platforms ...

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Support data engineering needs for predictive analytics and machine learning initiatives, including feature engineering, data preparation, and model enablement * Assist in modernizing data platforms ...

BakerHostetler

Data Solutions Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

next page

Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Mason, OH

Data Engineering information

See Mason, OH salary details

$43.3K

$155.2K

$229K

How much do data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineering in Mason, OH is $155,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,500.00 and $159,900.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What cities near Mason, OH are hiring for Data Engineering jobs?

Cities near Mason, OH with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Mason, OH as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $155,181 per year, or $74.6 per hour.

Director, Data Engineering

Core Specialty

Cincinnati, OH

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

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