OT Integration Engineer

Kinetik • Midland, TX

5d • Hybrid

About The Position

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. As part of a multidisciplinary analytics team, you focus on projects in the middle layer of the OT Data Ecosystem. You connect OT and business source systems to forecasting, optimization, reporting, and AI-enabled decision tools. You apply software engineering discipline, a practical understanding of industrial data systems, and a reliability mindset focused on secure, maintainable, and reusable data movement. You’ll enjoy opportunities to continuously learn, apply new technologies, and pursue novel methods while expanding your literacy as part of Kinetik’s operations in the competitive Permian Basin.

Requirements

• Bachelor’s degree in computer science, engineering, information systems, or a related technical field; equivalent industry experience will be considered.
• 5+ years of relevant experience in data, integration, software engineering, industrial automation, OT/IT analytics, or related technical work.
• Strong SQL and relational database skills, including data validation, troubleshooting, reusable data access patterns, views, stored procedures, and timestamp-based analysis.
• Experience designing, supporting, and troubleshooting production data pipelines, APIs, SQL models, integration services, scripts, or automated workflows.
• Working knowledge of structured data formats, APIs, data movement patterns, data contracts, schema discipline, and secure system-to-system integration.
• Experience supporting production systems, monitoring, logging, alerting, fault handling, recovery, and troubleshooting.
• Experience with MQTT / Sparkplug B, OPC UA, REST APIs, historian integrations, SQL Server integrations, event streaming, or similar technologies.
• Enthusiasm for learning products and technologies new to the team and applying them to enrich our analytics ecosystem. When you don't know it, you love to learn it. You help us keep pace with the rapidly evolving AI-assisted analytics space.

Nice To Haves

• Experience with, and preferably experience deploying and administering, MQTT brokers (such as Solace, HiveMQ, EMQX, or Chariot), including broker bridging or aggregation across network zones, topic namespace design, and Sparkplug B concepts such as birth/death certificates and metric metadata.
• Experience with HighByte or similar industrial data integration platforms.
• Experience with Python, PowerShell, containerization, Windows and Linux environments, source control, testing, peer review, CI/CD, or related maintainable development practices.
• Experience in oil and gas, midstream, utilities, manufacturing, or another industrial environment.
• Experience with AVEVA Wonderware, AppServer, AVEVA Historian, Ignition (including MQTT Engine / MQTT Transmission modules), FlowCal, Autosol ACM, TopServer / Kepware, or related OT and measurement systems.
• Familiarity with Databricks, Palantir Foundry, Power BI, Snowflake, or similar analytics and data platforms.
• Understanding of OT cybersecurity basics, industrial protocols, and segmented network environments.
• Experience replacing point-to-point interfaces or replicated-historian architectures with publish/subscribe data movement, including preserving tag metadata and data quality context through the pipeline.

Responsibilities

• 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, FlowCal, SQL Server, Ignition, AVEVA / Wonderware, MQTT / Sparkplug B, OPC UA, REST APIs, Solace, HighByte, 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, FlowCal, 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.

Benefits

• Kinetik is an equal employment opportunity employer and does not discriminate against qualified applicants on the basis of actual or perceived race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level