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Data Engineer Jobs in Dayton, OH (NOW HIRING)

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

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 ...

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

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 ...

RHINESTAHL CORPORATION

Data Engineer

Mason, OH

$107.70K - $129.30K/yr

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

Share Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT ...

Booz Allen Hamilton, Inc.

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine ...

Booz Allen Hamilton

Data Engineer

Dayton, OH · On-site

$99K - $225K/yr

Data Engineer The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine ...

Veracity

Data Engineer

Dayton, OH · On-site

$111.30K - $133.60K/yr

Data Engineer - Must have a TS/SCI clearance Onsite Plant or customer site | Works in a SCIF 5 days a week. Beavercreek, OH As a member of our team, you will be working with cutting edge technical ...

Booz Allen Hamilton

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine ...

Booz Allen Hamilton

Data Engineer

Beavercreek, OH

$99K - $225K/yr

R0237099 Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT ...

Booz Allen Hamilton

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

R0238166 Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT ...

Booz Allen Hamilton

Data Engineer

Beavercreek, OH

$99K - $225K/yr

R0238166 Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT ...

System One

Data Engineer - Contractor

Miamisburg, OH

$102.70K - $123.40K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Vaco by Highspring

MS Fabric Data Engineer

Mason, OH

$107.70K - $129.30K/yr

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 ...

Vaco LLC

MS Fabric Data Engineer

Mason, OH

$107.70K - $129.30K/yr

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 ...

InstantServe LLC

Data Engineer

Dayton, OH · On-site

$70K - $118K/yr

Job Title :- Data Engineer Location :- Dayton or Ohio CIty OH Duration :- Permanent Pay Rate :- $70K-118K/year plus Benefits OPIR experience. Familiarity with ArcGIS, Google Earth, SOCET GXP, COMET ...

InstantServe LLC

Data Engineer

Dayton, OH · On-site

$111.30K - $133.60K/yr

Candidate Pre-Screen Questions * 1. Do you have an Active TS/SCI clearance?0 of 2000 * 2. How many years of Relevant Data Science / Engineering experience?0 of 2000 * 3. Do you have a Bachelor level ...

InstantServe LLC

Data Engineer

Dayton, OH · On-site

$112.90K - $135.60K/yr

Candidate Pre-Screen Questions * 1. Do you have an Active TS/SCI clearance?0 of 2000 * 2. How many years of Relevant Data Science / Engineering experience?0 of 2000 * 3. Do you have a Bachelor level ...

System One

Data Engineer - Contractor

Miamisburg, OH · On-site

$102.70K - $123.40K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

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All JobsData Engineer JobsData Engineer Jobs in Dayton, OH

Data Engineer information

See Dayton, OH salary details

$43.3K

$126.1K

$172.5K

How much do data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineer in Dayton, OH is $126,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,600.00 per year, depending on experience, location, and employer.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Dayton, OH? The most popular types of Data Engineer jobs in Dayton, OH are:
What are popular job titles related to Data Engineer jobs in Dayton, OH? For Data Engineer jobs in Dayton, OH, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Dayton, OH look for? The top searched job categories for Data Engineer jobs in Dayton, OH are:
What cities near Dayton, OH are hiring for Data Engineer jobs? Cities near Dayton, OH with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Dayton, OH as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $126,079 per year, or $60.6 per hour.

Data Engineer

RH Aero Systems

Mason, OH • On-site

$107.70K - $129.30K/yr

Other

This job post has expired today. Applications are no longer accepted.

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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