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Director Data Engineering Jobs in Dayton, OH (NOW HIRING)

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards. * Evaluate the current integration landscape, including manual feeds, direct SQL access, and ...

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards. * Evaluate the current integration landscape, including manual feeds, direct SQL access, and ...

RHINESTAHL CORPORATION

Data Engineer

Mason, OH

$107.70K - $129.30K/yr

Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards. * Evaluate the current integration landscape, including manual feeds, direct SQL access, and ...

Vaco by Highspring

MS Fabric Data Engineer

Mason, OH

$107.70K - $129.30K/yr

Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards. * Evaluate the current integration landscape, including manual feeds, direct SQL access, and ...

Vaco LLC

MS Fabric Data Engineer

Mason, OH

$107.70K - $129.30K/yr

Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards. Evaluate the current integration landscape, including manual feeds, direct SQL access, and ...

The Armor Group

Director of Engineering

Mason, OH · On-site

... Director of Supply Chain, Buyers, Vendors, Engineering Managers, Electrical and Mechanical ... data analysis. * Strong project management skills * Solid understanding and ability to leverage ...

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$69K

$183.9K

$239.9K

How much do director data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for director data engineering in Dayton, OH is $183,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,700.00 and $239,000.00 per year, depending on experience, location, and employer.

What does a Director of Data Engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive in the Director Data Engineering position, and why are they important?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a Director of Data Engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.
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Director Data Engineering jobs near you

Data Engineer

RH Aero Systems

Mason, OH • On-site

$107.70K - $129.30K/yr

Other

Posted 20 days ago

Job description

About RH Aero Systems:
RH Aero Systems is setting the standard for aviation support equipment and services. Through our industry-leading businesses - Rhinestahl and HYDRO Systems - we deliver capability across custom-designed Ground Support Equipment, OEM-licensed engine and airframe tooling, 26 global service centers and innovative engineered solutions for OEMs, MROs and Operators worldwide. RH Aero Systems' global headquarters are in Mason, Ohio, USA, with Regional Headquarters in Biberach, Germany and Singapore. For further details visit RHAero.com.
Job Summary:
The Data Engineer is responsible for building, maintaining, and scaling RH Aero's enterprise Azure data platform and Microsoft Fabric environment in support of business integration, data consolidation, and analytics transformation initiatives.
This role will be central to unifying data across two legacy operating companies as we implement our future ERP systems. The Data Engineer will design, build, and support the pipelines, data structures, quality controls, security model, and semantic layers needed to deliver trusted executive KPI reporting, cross-functional analytics, and future AI-enabled business insights.
The environment includes multiple enterprise business platforms across manufacturing, service, supply chain, sales, and finance. This is not a report developer role. This is a platform building role for a technically strong engineer who can work across systems, business functions, and data domains.
Why join this role:
  • Opportunity to help build a single, trusted enterprise data foundation across the organization.
  • Play a key role in transforming fragmented reporting processes into a scalable and governed data platform.
  • Contribute to improving executive decision-making, self-service analytics, and future AI-enabled insights.

Key Responsibilities:
Build RH Aero's Future Analytics Platform
  • Design and implement the enterprise data platform architecture using Azure and Microsoft Fabric, including data ingestion, storage, transformation, modeling, and governed delivery patterns.
  • Build and maintain robust automated pipelines from business applications, supplier/customer portals, and operational databases into a unified data environment.
  • Establish raw, curated, and business-ready data layers to support repeatable analytics, executive dashboards, and self-service reporting.
  • Integrate and normalize data from Epicor, JobBOSS, SAP ECC, Salesforce, Azure SQL, and other internal and external business systems.
  • Create reusable data models, dimensions, facts, and business logic to support quote-to-cash, procure-to-pay, inventory, manufacturing, service, finance, and KPI reporting.
  • Implement data quality checks, exception handling, reconciliation routines, and monitoring to improve trust in reporting and reduce manual work.
  • Support Power BI delivery through governed semantic models, dataset optimization, security configuration, and drill-through to transaction-level source data.
  • Help define and implement role-based access, row-level security, object-level security, and workspace governance aligned to company policy and regional privacy requirements.
  • Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards.
  • Evaluate the current integration landscape, including manual feeds, direct SQL access, and middleware processes, and help transition the organization to more controlled and scalable patterns.

Qualifications and Experience:
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field is preferred. Equivalent practical experience in enterprise data engineering will also be considered.
  • 5+ years of experience in data engineering, data integration, or enterprise data platform development.
  • 4+ years of hands-on experience with Azure data services such as Azure Data Factory, Azure SQL, Azure Data Lake, Microsoft Fabric, Synapse, or closely related Microsoft data technologies.
  • Strong SQL development skills and experience optimizing complex data transformations.
  • Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in modern data engineering.
  • Experience designing and implementing data lake, lakehouse, or data warehouse solutions.
  • Strong understanding of dimensional modeling, semantic modeling, and data structures used for reporting and analytics.
  • Experience building and supporting ETL/ELT pipelines across multiple source systems.
  • Experience with Power BI datasets/semantic models and the data engineering practices that support governed reporting environments.
  • Experience with data quality, reconciliation, lineage, and documentation practices.
  • Ability to work in a fast-moving environment where source data, requirements, and processes are still maturing.
  • Strong communication skills and the ability to work directly with both technical teams and business leaders.
  • This role is based onsite in Mason

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