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Senior Dataops Engineer Jobs in Ohio (NOW HIRING)

MLOps Automation Senior Lead Engineer

Columbus, OH ยท On-site +1

$100K - $131K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Experience with agile development and strong understanding of DataOps and ModelOps principles

MLOps Automation Senior Lead Engineer

Akron, OH ยท On-site +1

$99K - $130K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Experience with agile development and strong understanding of DataOps and ModelOps principles

Senior Dataops Engineer information

What are some common challenges a Senior DataOps Engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

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

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

What is the difference between Senior Dataops Engineer vs Data Engineer?

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

What are Senior DataOps Engineers?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.
What are the most commonly searched types of Dataops Engineer jobs in Ohio? The most popular types of Dataops Engineer jobs in Ohio are:
What are popular job titles related to Senior Dataops Engineer jobs in Ohio? For Senior Dataops Engineer jobs in Ohio, the most frequently searched job titles are:

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

inQ LLC

Dayton, OH โ€ข On-site

$103K - $140K/yr

Other

Posted 11 days ago


Job description

Senior Cloud Data / DevSecOps Engineer
Location: Dayton, OH โ€” 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:
โ€ข 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 โ€ข Develop, maintain, and troubleshoot CI/CD pipelines for secure deployment of software artifacts into government cloud environments.
โ€ข Deploy and manage containerized workloads using Docker, Kubernetes, OpenShift, and/or AWS EKS.
โ€ข Develop Infrastructure as Code using Terraform, CloudFormation, and related automation tools.
โ€ข Build, operate, and maintain data pipelines using Kafka, Debezium, PostgreSQL, MySQL, S3, RDS, Lambda, SNS, and related AWS services.
โ€ข Design, tune, and maintain relational and NoSQL databases, including PostgreSQL, MySQL, Aurora, Oracle, MongoDB, and AWS RDS-based services.
โ€ข Support database migration, backup, replication, disaster recovery, and point-in-time recovery activities.
โ€ข Develop automation scripts and backend services using Python, Bash, SQL, PL/pgSQL, Node.js, and related technologies.
โ€ข Support ETL/ELT workflows, data ingestion, data transformation, and downstream API integration.
โ€ข Configure and maintain observability and logging stacks such as Prometheus, Grafana, Elasticsearch, Logstash, Kibana, Filebeat, Loki, or similar tools.
โ€ข Support secure software delivery in accordance with DoD, IC, RMF, ICD-503, NIST SP 800-53, STIG, and continuous monitoring requirements.
โ€ข Collaborate with software engineers, data engineers, cybersecurity teams, system administrators, mission stakeholders, and government technical leads.
โ€ข Produce technical documentation, SOPs, deployment notes, architecture diagrams, and operational support artifacts.
โ€ข Troubleshoot production issues across cloud infrastructure, containers, databases, pipelines, APIs, and mission applications. Required Qualifications
โ€ข Active TS/SCI clearance.
โ€ข Ability to work onsite/hybrid in Dayton, OH; remote-only candidates will not be considered.
โ€ข Minimum 8โ€“10 years of relevant experience in data engineering, DevSecOps, software engineering, cloud engineering, or platform engineering.
โ€ข Strong hands-on experience with AWS commercial, AWS GovCloud, or classified cloud environments.
โ€ข Experience with Kubernetes, Docker, container orchestration, and containerized application deployment.
โ€ข Experience developing and maintaining CI/CD pipelines using GitLab CI/CD, GitHub Actions, Jenkins, Argo CD, Argo Workflows, OpenShift pipelines, or similar tools.
โ€ข Experience with Kafka, event-driven architecture, message streams, or data ingestion pipelines.
โ€ข Strong experience with SQL, PostgreSQL, MySQL, Oracle, or AWS RDS.
โ€ข Experience with Python and Bash scripting for automation, data processing, and operational support.
โ€ข Experience developing Infrastructure as Code using Terraform, CloudFormation, Ansible, or similar tools.
โ€ข Experience operating in secure DoD or IC environments subject to RMF, NIST SP 800-53, ICD-503, or STIG requirements.
โ€ข Strong Linux troubleshooting and system administration skills.
โ€ข Ability to communicate technical issues clearly to engineering teams, leadership, and government stakeholders. Desired Qualifications
โ€ข Security+ or other DoD 8140/8570-compliant certification.
โ€ข Experience supporting NASIC, Air Force, DIA, CDAO, or other DoD/IC mission environments.
โ€ข Experience with AWS EKS, ECS Fargate, Lambda, S3, RDS, SNS, EMR, Glue, Route 53, ALB, IAM, and GovCloud VPCs.
โ€ข Experience with Debezium, Kafka Connect, CDC pipelines, Spark, Scala, Apache NiFi, Livy, Hive, Atlas, Superset, Zeppelin, or YuniKorn.
โ€ข Experience with OpenShift Kubernetes in accredited production environments.
โ€ข Experience with PostgreSQL high availability, logical replication, backup/recovery, performance tuning, pgVector, stored procedures, and normalized schema design.
โ€ข Experience supporting AI/ML or data science platforms such as JupyterHub, Nebari, Conda, PyTorch, TensorFlow, or GPU/CUDA-enabled environments.
โ€ข Experience with service mesh, mTLS, or zero-trust architectures using Istio, NGINX, AWS Private CA, or related technologies.
โ€ข Experience with observability platforms including Prometheus, Grafana, ELK/EFK, Loki, Filebeat, or Kibana.
โ€ข Experience supporting REST APIs, backend integration, ORMs, SQLAlchemy, Sequelize, Node.js, or Python-based services.
โ€ข Experience writing SOPs, deployment guides, architecture documentation, and accreditation support artifacts. Technical Stack
โ€ข Cloud: AWS GovCloud, AWS Commercial, DAF CLOUDworks, classified cloud environments
โ€ข Containers: Docker, Kubernetes, EKS, OpenShift
โ€ข DevSecOps: GitLab CI/CD, GitHub, Jenkins, Argo CD, Argo Workflows, GitOps
โ€ข IaC/Automation: Terraform, CloudFormation, Ansible, Python, Bash
โ€ข Data/Messaging: Kafka, Debezium, NiFi, Spark, Scala, S3, Lambda, SNS, CDC pipelines
โ€ข Databases: PostgreSQL, MySQL, Oracle, Aurora, MariaDB, MongoDB, AWS RDS
โ€ข Observability: Prometheus, Grafana, Elasticsearch, Logstash, Kibana, Filebeat, Loki
โ€ข Security/Compliance: RMF, NIST SP 800-53, ICD-503, STIGs, DoD 8140, secure CI/CD
โ€ข 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.