Senior Upstream Data Engineer

2 weeks ago

Spring, United States Resolve Tech Solutions Full time

Job Title: Sr. Level Upstream Data Engineer (Architect)-Strong PythonDuration: 12+ MonthsLocation: Spring, TXDescription:The Upstream Data Engineer will design, develop, and optimize enterprise data solutions that support drilling, reservoir engineering, completions, production optimization, and broader subsurface workflows. This role combines advanced data engineering expertise with deep functional knowledge of upstream oil and gas to enable high-quality analytics and accelerate operational decision making.Key ResponsibilitiesArchitect, build, and maintain scalable data pipelines for drilling, reservoir, and production datasets leveraging Python and modern ELT/ETL frameworksIngest, harmonize, and curate industry data sources such as WITSML, ProdML, LAS, SCADA historian data, seismic, well logs, and WellView/OpenWells datasetsDesign and implement robust data models in Snowflake and Databricks to support operational reporting, subsurface analytics, AI/ML, and reservoir engineering workflowsUtilize open table formats such as Apache Iceberg to support efficient data lineage, versioning, governance, and incremental processingCollaborate with drilling, geoscience, and reservoir engineering stakeholders to translate business requirements into reusable technology solutionsApply orchestration, CI/CD, and DevOps practices to ensure reliability and automation across cloud environmentsImprove data product performance, availability, quality, and compliance aligned with upstream data governance standards and PPDM/O&G reference modelsTroubleshoot and support production data pipelines and ensure secure, optimized access to datasetsRequired QualificationsBachelor’s degree in Petroleum Engineering, Computer Science, Data Engineering, or related technical disciplineProven experience working directly within upstream oil and gas domains such as drilling operations, reservoir management, completions, or production engineeringStrong Python programming skills and experience building reusable transformation frameworksHands-on experience with Snowflake and Databricks including Delta Lake or similar distributed processing capabilitiesExperience with open data lakehouse architectures and formats (Apache Iceberg preferred)Proficiency in SQL, cloud services (Azure or AWS), distributed compute concepts, and data ingestion frameworksSolid understanding of the well lifecycle, subsurface engineering concepts, and upstream operational KPIsPreferred SkillsExperience with Cognite Data Fusion for contextualization and integration of operational, engineering, and IT data to enable analytics and AI solutionsFamiliarity with OSDU data platform or PPDM standards for upstream data governanceExperience building analytics-ready datasets for data science and real-time operational decision supportKnowledge of BI reporting tools such as Power BI or Spotfire used in E&P environmentsExposure to real-time data ingestion from drilling rigs, control systems, or production operations

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