OT Integration Engineer

As an OT Integration Engineer at Kinetik, you design, build, and support the pipelines, APIs, SQL models, data products, and integration services that help operational and business data move reliably across the organization. You play a critical role that enables Kinetik to shape its large collection of operational and business data into insights that empower our employees, improve safety, and streamline operations.

• Construct and support real-time and batch data pipelines connecting SCADA platforms, historians, databases, APIs, business systems, and enterprise analytics environments.
• Establish and promote reliable integration patterns for operational data movement across OT, DMZ, cloud, and enterprise environments.
• Deploy, secure, and maintain industrial MQTT / Sparkplug B broker infrastructure across OT, DMZ, and analytics network zones, including edge brokers near source systems, broker bridging and aggregation into enterprise-level brokers, and store-and-forward resilience.
• Organize and simplify integrations involving SCADA, historian, Flow Cal, SQL Server, Ignition, AVEVA / Wonderware, MQTT / Sparkplug B, OPC UA, REST APIs, Solace, High Byte, and new business systems.

• Develop APIs, services, SQL models, views, stored procedures, and reusable data access patterns that expose relevant OT data to business and analytics consumers.
• Define and maintain data contracts, schemas, naming standards, interface patterns, and documentation for operational data products.

• Implement monitoring, logging, alerting, retry behavior, fault handling, and recoverability patterns for production data pipelines and integration services.
• Investigate data pipeline failures, latency issues, missing data, schema changes, stale data, duplicate records, and unexpected data movement behavior.
• Distinguish integration issues from source-system issues or downstream model/tool issues and assist primary stewards with corrections.

• Reduce dependence on manual file handling, duplicated queries, spreadsheet-driven workflows, unmanaged scripts, and fragile point-to-point interfaces.
• Apply source control, modular design, testing, versioning, peer review, CI/CD, and maintainable development practices where appropriate.
• Support controlled change management for schemas, APIs, SQL objects, data pipeline logic, and integration interfaces.

• Coordinate with analytics team members to hunt down problems in the OT Data Ecosystem.
• Maintain documentation for supported systems.

• Assist OT Systems Specialists to ensure data pipeline assumptions match field, SCADA, historian, Flow Cal, and measurement-system realities.
• Assist AI Analytics Engineers to understand data requirements for forecasting, optimization, predictive maintenance, RAG systems, AI assistants, and decision-support tools.
• Coordinate with IT / Infrastructure, Operations, Measurement, Commercial, Environmental, Engineering, and other stakeholders during integration design, troubleshooting, and support.
• Support other OT Analytics team members during workload spikes, incidents, commissioning efforts, dashboard/tool development, or high-priority projects, while preserving the primary ownership boundaries defined for each role.
• Communicate data flow, system dependencies, latency, availability, failure modes, and technical tradeoffs clearly to technical and non-technical audiences.
• Preserve clear ownership of data pipelines, APIs, SQL models, schemas, and data products while supporting the broader OT data value chain.
• All other…