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Data Engineer Government Jobs in Ohio (NOW HIRING)

LDSS Corp

Data Engineer

Dayton, OH

$120K - $135K/yr

We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache ... S federal government security clearance Benefits * 401(k) * 401(k) matching * Dental insurance

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

... commercial, government and military organizations. The company provides training for pilots ... Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for ...

BC Forward

Data Engineer III

Cincinnati, OH · On-site

$67 - $73/hr

Data Engineer III Location: (City, State) Duration: Contract - 14 months Pay Range: $67/hr $73/hr ... government clients. Founded in 1998, BCforward has grown with our customers needs into a full ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... Ensure compliance with Government security and privacy requirements. * Troubleshoot data ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · On-site

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... Ensure compliance with Government security and privacy requirements. * Troubleshoot data ...

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely ... Existing Air Force credentials and/or ability to work in a secure or controlled government ...

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely ... Existing Air Force credentials and/or ability to work in a secure or controlled government ...

SIERTEK

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely ... Existing Air Force credentials and/or ability to work in a secure or controlled government ...

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All JobsData Engineer Government JobsData Engineer Government Jobs in Ohio

Data Engineer Government information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data engineer government jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer government in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

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

A successful Data Engineer Government needs strong skills in data architecture, data integration, and programming languages like SQL and Python, usually backed by a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop or Spark), ETL tools, and certifications like AWS Certified Data Analytics are highly valuable. Excellent problem-solving, attention to detail, and the ability to communicate complex information clearly enhance performance in this position. These abilities are crucial for building secure, efficient data systems that support government decision-making and comply with regulatory standards.

What types of projects do Data Engineers typically work on in government agencies?

Government Data Engineers often work on large-scale data integration, data warehouse development, and the creation of automated pipelines to consolidate and secure public sector information. Projects can include developing platforms for analyzing public records, supporting policy research with reliable datasets, or improving the accessibility of open data for citizens and internal teams. You will frequently collaborate with data analysts, IT staff, and policy experts to ensure data solutions meet both technical requirements and regulatory standards. These projects are impactful, as they help improve public services, streamline government operations, and enhance transparency.

What is a Data Engineer Government job?

A Data Engineer in government is responsible for designing, building, and maintaining data pipelines and infrastructure to support public sector analytics and decision-making. They work with large datasets, ensuring data is collected, stored, and processed efficiently while complying with government regulations and security standards. Their role often involves integrating diverse data sources, optimizing data workflows, and collaborating with analysts and policymakers to derive meaningful insights for public services and policy development.

What are the most commonly searched types of Data Engineer Government jobs in Ohio? The most popular types of Data Engineer Government jobs in Ohio are:
What are popular job titles related to Data Engineer Government jobs in Ohio? For Data Engineer Government jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineer Government jobs in Ohio look for? The top searched job categories for Data Engineer Government jobs in Ohio are:
Data Engineer Government jobs near you
Infographic showing various Data Engineer Government job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.
Data Engineer

Data Engineer

LDSS Corp

Dayton, OH

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Description
Company Overview
Established in 2006, LDSS is a Woman-Owned Small Business (WOSB) based in Dayton, Ohio, with 20 years of proven success delivering high-impact solutions and services to federal agencies. LDSS is unwavering in its commitment to quality, collaboration, and delivering measurable outcomes that foster long-term success. Our thriving culture is powered by our A.C.T.I.V.E. core values:
  • Attitude – Optimistic, hopeful, and forward-thinking
  • Compassionate Teamwork – Respectful collaboration through self-awareness and mutual understanding
  • Integrity – Doing the right thing, in the right way, for the right reasons
  • Versatility – Adaptive and anticipatory problem-solving
  • Excellence – Dedicated to raising the bar of quality and performance
Summary
This is currently a remote position with participation twice year at an in-person workshop customer. We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply chain logistics and prior Department of Defense experience. This position supports the Air Force’s Maintenance, Repair, and Overhaul (MRO) program to streamline depot-level operations across the Air Force Sustainment Center. If you're passionate about data-driven transformation and ready to support mission-critical operations, we'd love to hear from you. 

Key Responsibilities
  • Build and optimize ETL data pipelines using Databricks and Apache Spark
  • Develop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources
  • Utilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion
  • Use APIs for seamless data exchange and automation across systems
  • Manage SharePoint data (lists, libraries, files, metadata) programmatically using Python and Microsoft Graph API[CM2]
  • Leverage Microsoft 365 tools for documentation and collaboration
  • Develop and maintain Amazon Web Services (AWS) including S3
  • Fully utilize the Microsoft 365 environment for cross-functional data sharing and productivity
  • Use Jira to track and manage issues, tasks, and project workflows
  • Collaborate with cross-functional teams and technical stakeholders to define data transformations of legacy systems to modern schemas
  • Leverage SME collaboration to interpret business rules and build business logic into data extracts and transformation processes
  • Build and maintain strong working relationships with SME’s, helping to identify requirements for data transformations based upon iterative product feedback


Skills, Knowledge and Expertise
Education:
  • Bachelor’s degree in computer science, engineering, or a related field
Technical skills, hands-on experience and proficiency with:
  • Databricks, Apache Spark, and cloud-based data engineering and modeling (2-3 years preferred)
  • SQL for querying and managing relational data (4 years preferred)
  • AWS cloud services, including S3 (3 years preferred)
  • Python for data analysis, cleansing, and visualization (4 years preferred)
  • SharePoint lists, document libraries, and Microsoft Graph
  • Microsoft 365 apps and integration workflows
  • Developing and consuming APIs for data exchange between different systems
  • Jira or other agile workflow management systems for issue and project tracking
Relationship Management and Teamwork:
  • Proven ability to build trust and maintain strong partnerships with customers and stakeholders
  • Takes initiative and drives projects forward with minimal supervision, anticipating challenges before they arise
  • Meticulous in managing complex tasks and deadlines, ensuring accuracy and consistency across deliverables
  • Thrives in cross-functional environments, fostering open communication and teamwork across diverse groups
  • Rapidly assimilates new technologies and processes, adapting to evolving requirements in dynamic settings
  • Ability to work collaboratively with a diverse team of contractors and government personnel
  • Ability to work collaboratively with a diverse team of contractors, government personnel, and stakeholders from multiple organizations
  • Skilled in building strong customer relationships and engaging with Subject Matter Experts (SMEs) to derive business logic for data transformation methods and rules
Preferred Licenses/Certifications:
  • AWS Certified Solutions Architect 
  • Databricks Certified Data Engineer
  • U.S federal government security clearance 

Benefits
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Referral program
  • Tuition reimbursement
  • Vision insurance


LDSS logo

About LDSS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Dayton, OH, US

Year founded

2006

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