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Data Engineer Jobs in Springfield, OH (NOW HIRING)

RELX

AI Data Analyst

Dayton, OH

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience. * Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site

Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...

SolGenie

Palantir Engineer

Marysville, OH · On-site

Palantir Developer designs, builds, and deploys data-driven applications and analytics workflows within the Palantir Foundry platform. Key responsibilities: * include creating data pipelines ...

KBR

Database Engineer

Beavercreek, OH

Support data persistence requirements for user applications, digital engineering artifacts, simulation outputs, and platform services. * Participate in DevSecOps, Agile, and CI/CD activities.

KBR, Inc.

Database Engineer

Beavercreek, OH · On-site

Support data persistence requirements for user applications, digital engineering artifacts, simulation outputs, and platform services. * Participate in DevSecOps, Agile, and CI/CD activities.

GRVTY

Data Science - Senior

Dayton, OH · On-site

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience. * Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Springfield, OH

Data Engineer information

See Springfield, OH salary details

$40.1K

$116.8K

$159.9K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Springfield, OH is $116,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $123,900.00 per year, depending on experience, location, and employer.

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.

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.

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 is a data engineer?

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Springfield, OH? The most popular types of Data Engineer jobs in Springfield, OH are:
What job categories do people searching Data Engineer jobs in Springfield, OH look for? The top searched job categories for Data Engineer jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Data Engineer jobs? Cities near Springfield, OH with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Springfield, OH as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,841 per year, or $56.2 per hour.

Senior Cloud Data / DevSecOps Engineer - OPEN ASAP with Security Clearance

inQ LLC

Dayton, OH • On-site

$103K - $140K/yr

Other

Re-posted 2 days ago

Job description

Senior Cloud Data / DevSecOps Engineer
Location: Dayton, OH — Onsite/Hybrid Required
Clearance: Active TS/SCI required
Citizenship: U.S. Citizenship required Position Summary: inQ is seeking a Senior Cloud Data / DevSecOps Engineer (OPEN Position to fill ASAP) to support the maintenance, sustainment, and minor enhancement of operational software within the Foundation and Integration Collection. This role supports mission-critical cloud-native services, including message bus, logging and telemetry, workflow automation, database management, session management, security marking, and serverless/function-as-a-service capabilities. The engineer will work with modern DevSecOps, DataOps, and cloud-native technologies to maintain, enhance, automate, and deploy secure software artifacts into the Unified Cloud Architecture through established CI/CD pipelines. Deployments may support multiple security enclaves, including NIPRNet, SIPRNet, and JWICS, as well as DAF CLOUDworks or other government-approved cloud architectures.
This position is ideal for a hands-on engineer with strong experience in Kafka, Kubernetes, AWS GovCloud, Terraform, CloudFormation, PostgreSQL, Python, Bash, SQL, Docker, GitLab/GitHub CI/CD, OpenShift, MongoDB, ETL/ELT pipelines, and secure DoD cloud environments. The preferred candidate is a hands-on senior engineer who can bridge database engineering, API development, DevSecOps automation, and secure platform architecture. This person should be comfortable taking an initial concept, building an MVP, working directly with platform teams, and turning the solution into reusable templates and implementation patterns for multiple database technologies. Key Responsibilities:
• Maintain, sustain, and enhance operational software services supporting the Foundation and Integration Collection. Support cloud-native platform services, including:
o Kafka-based message bus services
o Logging, telemetry, and observability services
o Workflow services using Argo or similar tools
o Database management services
o Session management services
o Security marking services
o Serverless and Function-as-a-Service capabilities • Develop, maintain, and troubleshoot CI/CD pipelines for secure deployment of software artifacts into government cloud environments.
• Deploy and manage containerized workloads using Docker, Kubernetes, OpenShift, and/or AWS EKS.
• Develop Infrastructure as Code using Terraform, CloudFormation, and related automation tools.
• Build, operate, and maintain data pipelines using Kafka, Debezium, PostgreSQL, MySQL, S3, RDS, Lambda, SNS, and related AWS services.
• Design, tune, and maintain relational and NoSQL databases, including PostgreSQL, MySQL, Aurora, Oracle, MongoDB, and AWS RDS-based services.
• Support database migration, backup, replication, disaster recovery, and point-in-time recovery activities.
• Develop automation scripts and backend services using Python, Bash, SQL, PL/pgSQL, Node.js, and related technologies.
• Support ETL/ELT workflows, data ingestion, data transformation, and downstream API integration.
• Configure and maintain observability and logging stacks such as Prometheus, Grafana, Elasticsearch, Logstash, Kibana, Filebeat, Loki, or similar tools.
• Support secure software delivery in accordance with DoD, IC, RMF, ICD-503, NIST SP 800-53, STIG, and continuous monitoring requirements.
• Collaborate with software engineers, data engineers, cybersecurity teams, system administrators, mission stakeholders, and government technical leads.
• Produce technical documentation, SOPs, deployment notes, architecture diagrams, and operational support artifacts.
• Troubleshoot production issues across cloud infrastructure, containers, databases, pipelines, APIs, and mission applications. Required Qualifications
• Active TS/SCI clearance.
• Ability to work onsite/hybrid in Dayton, OH; remote-only candidates will not be considered.
• Minimum 8–10 years of relevant experience in data engineering, DevSecOps, software engineering, cloud engineering, or platform engineering.
• Strong hands-on experience with AWS commercial, AWS GovCloud, or classified cloud environments.
• Experience with Kubernetes, Docker, container orchestration, and containerized application deployment.
• Experience developing and maintaining CI/CD pipelines using GitLab CI/CD, GitHub Actions, Jenkins, Argo CD, Argo Workflows, OpenShift pipelines, or similar tools.
• Experience with Kafka, event-driven architecture, message streams, or data ingestion pipelines.
• Strong experience with SQL, PostgreSQL, MySQL, Oracle, or AWS RDS.
• Experience with Python and Bash scripting for automation, data processing, and operational support.
• Experience developing Infrastructure as Code using Terraform, CloudFormation, Ansible, or similar tools.
• Experience operating in secure DoD or IC environments subject to RMF, NIST SP 800-53, ICD-503, or STIG requirements.
• Strong Linux troubleshooting and system administration skills.
• Ability to communicate technical issues clearly to engineering teams, leadership, and government stakeholders. Desired Qualifications
• Security+ or other DoD 8140/8570-compliant certification.
• Experience supporting NASIC, Air Force, DIA, CDAO, or other DoD/IC mission environments.
• Experience with AWS EKS, ECS Fargate, Lambda, S3, RDS, SNS, EMR, Glue, Route 53, ALB, IAM, and GovCloud VPCs.
• Experience with Debezium, Kafka Connect, CDC pipelines, Spark, Scala, Apache NiFi, Livy, Hive, Atlas, Superset, Zeppelin, or YuniKorn.
• Experience with OpenShift Kubernetes in accredited production environments.
• Experience with PostgreSQL high availability, logical replication, backup/recovery, performance tuning, pgVector, stored procedures, and normalized schema design.
• Experience supporting AI/ML or data science platforms such as JupyterHub, Nebari, Conda, PyTorch, TensorFlow, or GPU/CUDA-enabled environments.
• Experience with service mesh, mTLS, or zero-trust architectures using Istio, NGINX, AWS Private CA, or related technologies.
• Experience with observability platforms including Prometheus, Grafana, ELK/EFK, Loki, Filebeat, or Kibana.
• Experience supporting REST APIs, backend integration, ORMs, SQLAlchemy, Sequelize, Node.js, or Python-based services.
• Experience writing SOPs, deployment guides, architecture documentation, and accreditation support artifacts. Technical Stack
• Cloud: AWS GovCloud, AWS Commercial, DAF CLOUDworks, classified cloud environments
• Containers: Docker, Kubernetes, EKS, OpenShift
• DevSecOps: GitLab CI/CD, GitHub, Jenkins, Argo CD, Argo Workflows, GitOps
• IaC/Automation: Terraform, CloudFormation, Ansible, Python, Bash
• Data/Messaging: Kafka, Debezium, NiFi, Spark, Scala, S3, Lambda, SNS, CDC pipelines
• Databases: PostgreSQL, MySQL, Oracle, Aurora, MariaDB, MongoDB, AWS RDS
• Observability: Prometheus, Grafana, Elasticsearch, Logstash, Kibana, Filebeat, Loki
• Security/Compliance: RMF, NIST SP 800-53, ICD-503, STIGs, DoD 8140, secure CI/CD
• Application/Integration: REST APIs, SQLAlchemy, Sequelize, Node.js, Python services Work Environment
This role supports secure mission systems in classified and government cloud environments. Candidates must be comfortable working in an Agile, collaborative engineering environment with government and contractor teams. The position requires an onsite/hybrid presence in Dayton, Ohio, with work performed in accordance with government security, access, and facility requirements.

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