DevOps Engineer II - Data and Analytics

Our core values — Stewardship, Character, Collaborate, Learn, Disrupt — are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.

This position is a technical role responsible for ensuring the reliability, scalability, and operational excellence of enterprise data and analytics platforms and related technologies. This role partners closely with developers, data engineers, and platform owners to design resilient systems, improve deployment practices, and automate operations. This position contributes to Dev Ops and cloud engineering practices by supporting automation efforts, enhancing system observability, and assisting with incident response and continuous improvement initiatives.

This role combines hands‑on technical skills with a focus on system performance, reliability, and operational efficiency across a diverse enterprise platform landscape.

• Partner with data engineering, application, analytics, and platform teams to design and support reliable, scalable, and secure systems, including data warehouse, lakehouse, analytics, and data integration platforms
• Develop strong working knowledge of supported data platforms and services, including Snowflake, Databricks, dbt, Sigma, Azure, and related cloud services, to identify reliability risks, performance issues, and cost optimization opportunities
• Support administration and configuration of Snowflake environments, including warehouse management, access controls, performance optimization, resource monitoring, and cost governance
• Support analytics platform operations for tools such as Sigma or similar BI/analytics platforms, including workspace configuration, connection health, availability, and performance troubleshooting
• Design and implement infrastructure and platform automation using infrastructure‑as‑code, configuration management, and scripting practices
• Participate in incident response efforts, including troubleshooting, root cause analysis, and post‑incident reviews across data platforms, pipelines, and related services
• Develop and maintain observability solutions for data platforms and pipelines, including monitoring, logging, alerting, data pipeline health checks, and operational dashboards
• Identify and eliminate manual operational processes through scripting, automation, self‑service capabilities, and platform engineering solutions
• Collaborate with data engineering and analytics teams to improve performance, fault tolerance, resiliency, and operational reliability across data pipelines and analytics workloads
• Contribute to capacity planning, cost optimization, and scalability initiatives, including Snowflake credit usage, Databricks compute utilization, and cloud resource consumption
• Assist with the setup, administration, and operational support of AI/ML and data science platforms, including environments for model development, deployment, monitoring, and secure access
• Evaluate and recommend tools, technologies, and approaches to improve data platform reliability, engineering productivity, and analyst experience
• Document architecture, operational processes, runbooks, automation patterns, and reliability standards

• Experience deploying and supporting infrastructure using infrastructure‑as‑code tools such as Terraform, ARM, Bicep, or similar technologies
• Experience supporting and administering enterprise SaaS and PaaS platforms, including configuration, environment management, and operational support
• Strong foundational knowledge of operating systems,…