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Contract Data Engineering Jobs in Ohio (NOW HIRING)

The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force ... Support DMM modernization efforts by providing integrated tools for contract data normalization ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH ยท On-site +1

$109K - $132K/yr

... in Data Engineering; * Background in working with AI tools that support areas such as data ... contract research organization (CRO) providing phase l-lV clinical development services to the ...

Senior Configuration Data Manager

Dayton, OH ยท On-site

$100 - $140/hr

The Senior Configuration Data Manager will provide assistance in the application of configuration ... into the contract. * Assist in reviewing Engineering Change Proposals (ECPs), Change Control ...

***** IT'S A W2 CONTRACT ROLE, NO C2C/1099 ***** Title: Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What ...

Data Scientist

Dayton, OH ยท On-site

$77K - $176K/yr

Ability to conduct data analytics, data engineering, data mining, exploratory analysis, predictive ... as well as contract-specific affordability and organizational requirements. The projected ...

Senior Data Engineer

Cincinnati, OH ยท On-site

$101K - $138K/yr

SENIOR DATA ENGINEER Location: Cincinnati, OH - Onsite Contract Interview: onsite interview for the final round (12+ yrs exp) skilled in Azure, Databricks, Unity Catalog, Delta Tables, and Data Lake ...

Project - Data Engineer II

Cleveland, OH ยท On-site

$111K - $133K/yr

These solutions are powered by engineering for business advantage, transforming mission-critical ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Showing results 41-60

Contract Data Engineering information

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
What are the most commonly searched types of Data Engineering jobs in Ohio? The most popular types of Data Engineering jobs in Ohio are:
What job categories do people searching Contract Data Engineering jobs in Ohio look for? The top searched job categories for Contract Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Contract Data Engineering jobs? Cities in Ohio with the most Contract Data Engineering job openings:
Infographic showing various Contract Data Engineering job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Science Manager

Credence

Dayton, OH โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 13 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

Position Summary

Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional who enjoys transforming complex procurement, logistics, and enterprise systems data into actionable insights through analytics, automation, dashboards, data modeling, and decision-support solutions for Air Force stakeholders.

The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operations…resulting in war-winning expeditionary capabilities.

In this position, the selected candidate will support enterprise data modernization efforts by helping connect data across systems, improve data quality, identify trends, develop meaningful visualizations, and translate business needs into scalable analytics and business intelligence solutions.

Responsibilities include, but are not limited to the duties listed below:

  • Provide professional services in support of the Digital Materiel Management (DMM) initiative as defined in the PWS.
  • Support DMM modernization efforts by providing integrated tools for contract data normalization, analysis, and analytics to facilitate Air Force-wide insight into procurement data.
  • Utilize current and future DoD and Air Force IT systems to connect procurement data and generate tools and visualizations for the procurement community.
  • Perform professional and administrative tasks in support of the contracting functional community’s DMM efforts.
  • Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
  • Acquire and analyze data and metrics across the enterprise to determine how they can be incorporated into data visualizations and dashboards.
  • Conduct exploratory data analysis, trend analysis, and data quality assessments to uncover patterns, risks, opportunities, and actionable insights that support operational and strategic decision-making.
  • Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements.
  • Translate complex data findings into clear narratives, dashboards, and data stories that enable non-technical stakeholders to understand key insights and make informed decisions.
  • Serve as a functional and technical data visualization and business intelligence subject matter expert.
  • Translate business analysis and business needs into prototype concepts for reports and dashboards and contribute to design and visualization best practices.
  • Utilize business intelligence tools to take dashboard requirements and develop deliverable solutions.
  • Create and update Python scripts for data translation from multiple sources.
  • Support data pipeline, data integration, and automation activities by working with structured and unstructured data from multiple enterprise systems and applying repeatable, scalable approaches to data transformation.
  • Serve as a functional and technical Robotic Process Automation (RPA) subject matter expert.
  • Document data acquisition, data management, and data governance processes.
  • Promote data governance, metadata management, data lineage, and standardization practices to improve consistency, usability, and trust in enterprise data assets.
  • Make and implement process improvements and efficiencies.
  • Create training materials and user guides.
  • Conduct group and one-on-one training sessions with end users.

Requirements

Education, Requirements and Qualifications:

  • Must have an active or current Secret security clearance, or higher.
  • BA/BS degree and at least three (3) years of experience in the respective technical/professional discipline being performed, with proper certifications required in the labor category performance requirements
  • OR six (6) years of directly related experience.
  • Knowledgeable in enterprise software development and the acquisition life cycle, with applied knowledge of Government program management skills and document preparation.
  • Ability to use Government-provided office automation tools.
  • Knowledge of federal and Department e-business and contracting systems, analytics platforms, and data tools, including but not limited to Conwrite, Automated Contract Preparation System (ACPS), CON-IT, Advana, CDO-VALT, Program Management Resource Tools (PMRT), Federal Procurement Data System-Next Generation (FPDS-NG), Procurement Integrated Enterprise Environment (PIEE) suite, Electronic Document Access (EDA), Wide Area Workflow (WAWF), ABSS, ERP systems, SQL, Python, UiPath, Qlik Sense, QlikView, Tableau, Power BI, Power Apps, and · Power Automate, data modeling, dashboard development, data visualization, data transformation, and business intelligence reporting.
  • Extensive knowledge of the federal acquisition process, including in-depth experience with the Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFARS), Department of the Air Force Federal Acquisition Regulation Supplement (DAFFARS), and DoD and Air Force acquisition instructions.

Preferred Experience:

  • Hands-on experience with Python, SQL, Power BI, Tableau, Qlik, Power Apps, Power Automate, UiPath, or similar tools for dashboards, reporting, automation, and data-driven solutions.
  • Experience leveraging AI/ML, Generative AI, predictive analytics, or automation technologies to improve data-driven decision-making, business process efficiency, and operational outcomes within DoD, Air Force, or federal environments.
  • Experience with data pipelines, integration, transformation, cleansing, validation, data modeling, governance, metadata, or data lineage.
  • Ability to apply exploration analysis, trend analysis, statistical analysis, predictive analytics, or machine learning concepts to support business insights and decision-making.
  • Strong ability to present complex data insights through clear dashboards, visualizations, narratives, and recommendations for technical and non-technical stakeholders.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development