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4 results for Systems Engineer in Cincinnati, OH

DEX Engineer

Cincinnati, OH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a DEX Engineer to support data engineering initiatives for a long-term contract opportunity in Cincinnati, Ohio. This role is suited for someone who enjoys building dependable data solutions, improving data flow performance, and working with modern distributed processing technologies. The ideal candidate will help design and maintain scalable pipelines that enable efficient data movement, transformation, and access across the organization. Responsibilities: • Build and optimize large-scale data pipelines using Python and Apache Spark to support reliable data processing. • Develop ETL workflows that collect, transform, and deliver data from multiple source systems into analytical platforms. • Work with Hadoop-based environments to manage distributed data processing and storage effectively. • Implement and support Kafka-driven streaming solutions for near real-time data ingestion and integration. • Monitor pipeline performance, troubleshoot data issues, and improve processing efficiency across engineering workflows. • Collaborate with technical teams to understand data needs and translate them into scalable engineering solutions. • Maintain data quality standards by validating outputs, resolving inconsistencies, and supporting dependable data availability. • Contribute to ongoing enhancements of data architecture, including updates to existing platforms and operational processes.
2026-08-27T00:00:00Z

Sr. Network Engineer

Cincinnati, OH
onsite
Temporary / Contract
65 - 75 USD / Hourly
We are looking for an accomplished Sr. Network Engineer to lead the design, deployment, and ongoing optimization of resilient enterprise networking solutions across on-premises and cloud environments. This Long-term Contract opportunity is based in Cincinnati, Ohio, and is ideal for a detail-oriented individual who brings deep technical judgment, strong troubleshooting ability, and a strategic approach to network architecture. The role will partner closely with infrastructure, security, cloud, application, and operations teams to deliver secure, scalable connectivity that supports evolving business needs. Responsibilities: • Design and refine enterprise network architectures that support high availability, strong performance, and secure connectivity across data center, campus, and cloud environments. • Implement and maintain routing, switching, and firewall solutions using core Cisco networking technologies and Palo Alto security platforms. • Manage and optimize dynamic routing configurations, including BGP, to ensure reliable traffic flow and effective network scalability. • Collaborate with cross-functional technical teams to translate business and application requirements into practical network designs and implementation plans. • Troubleshoot complex network incidents, identify root causes, and drive timely resolution for performance, stability, and security issues. • Develop standards, diagrams, and technical documentation to support operational consistency, future planning, and knowledge sharing. • Evaluate existing network infrastructure and recommend improvements that strengthen resilience, simplify management, and align with long-term technology goals. • Support network changes, upgrades, and modernization efforts while minimizing disruption to business operations.
2026-08-28T00:00:00Z

Data Engineer

Erlanger, KY
onsite
Temporary / Contract
38 - 44 USD / Hourly
We are looking for a detail-focused Engineer/Analyst to join a Long-term Contract assignment supporting technical data quality and material information management in northern Kentucky. In this role, you will help maintain accurate, standardized data for raw materials and packaging components so teams can move product development, supplier onboarding, and manufacturing activities forward efficiently. This position works closely with research, quality, procurement, operations, and master data partners to strengthen consistency across systems and improve the reliability of material records. This role will be onsite 4 days a week and 1 day remote. Must be comfortable working in a lab/plant manufacturing setting. YOU MUST LIVE IN KY or OH to be considered. No option for remote work. Responsibilities:• Manage the collection, review, and entry of technical specifications for raw materials and packaging components within designated data and specification platforms.• Verify that material records are complete, accurate, and aligned with company standards, compliance expectations, and approved documentation.• Apply consistent naming structures, formatting rules, and data standards to improve usability across regional and enterprise systems.• Investigate missing, conflicting, or outdated information in material specifications and resolve issues through coordination with cross-functional stakeholders.• Maintain material master records and ensure proper connections between specification data, system entries, and related documentation.• Build, revise, and validate bills of materials to support production readiness, product updates, supplier changes, and ongoing improvement efforts.• Partner with master data, procurement, operations, and technical teams to enhance data governance practices and streamline data management processes.• Monitor assigned project activities and data deliverables to help keep timelines on track and support broader documentation standardization efforts.
2026-08-21T00:00:00Z

Data Engineer

Cincinnati, OH
onsite
Temporary / Contract
67.45 - 78.1 USD / Hourly
We are looking for a Data Engineer to support scalable data solutions for a Long-term Contract position based in Cincinnati, Ohio. This role focuses on building reliable data pipelines, optimizing data movement across platforms, and enabling efficient access to high-quality datasets for business and technical teams. The ideal candidate brings strong hands-on experience with modern big data tools and a practical approach to designing robust ETL workflows. Responsibilities: • Design and maintain end-to-end data pipelines that process large and complex datasets with a focus on performance and reliability. • Develop ETL workflows using Python and Spark to transform raw data into structured, usable formats for downstream consumption. • Work with Hadoop-based environments to manage distributed data processing and storage activities at scale. • Integrate streaming and messaging components such as Kafka to support near real-time data ingestion and event-driven processing. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen stability and data quality. • Collaborate with analysts, developers, and other stakeholders to understand data needs and translate them into technical solutions. • Improve existing data architecture by refining workflows, reducing processing bottlenecks, and increasing operational efficiency.
2026-08-27T00:00:00Z