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Data Engineer Government Jobs in Ohio (NOW HIRING)

VTG

Data Scientist

Beavercreek, OH · On-site

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers ... Provide technical input to program managers and government representatives Do you have what it ...

New

GRVTY

Data Science - Senior

Dayton, OH

... or C++ in government repositories. * Conduct prototype reviews, code walkthroughs, and ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

VTG

Data Scientist

Beavercreek, OH

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers ... Provide technical input to program managers and government representatives Do you have what it ...

New

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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 Aug 7, 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?

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Lead Machine Learning / Data Science Engineer

CapTech Consulting

Columbus, OH • On-site

$53.75 - $71.25/hr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
  • Bachelor's degree or equivalent combination of education and experience.
  • Experience providing technical leadership and mentoring other engineers in data engineering space
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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