Geospatial Data Engineer

Total Number of Openings 1 The Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world’s current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies. Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world’s growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all. The Geospatial Data Engineering will be a senior technical resource within the Specialty Operations Infrastructure organization at Chevron ENGINE. This role provides technical authority, governance oversight, and engineering-level validation for PODS (Pipeline Open Data Standard) data and related GIS integrations that support pipeline integrity, regulatory compliance, and operational use cases.     This position is responsible for PODS data model governance, technical assurance (V&V), gap resolution, and integration support, ensuring PODS remains a reliable, compliant system of record for pipeline spatial and attribute data.

PODS Governance & Technical Authority    Serve as the technical authority for PODS data standards, structure, and governance across ENGINE-supported assets.   Define, maintain, and enforce PODS data standards, validation rules, and governance workflows in alignment with PODS specifications and Chevron requirements.   Review and approve data model changes, extensions, or exceptions to ensure long-term sustainability and consistency.  Data Validation, Verification & Quality Assurance    Perform engineering-level verification and validation (V&V) of PODS data loads and imported data, migrations, and updates to ensure technical correctness, traceability, and fitness for integrity and regulatory use.   Lead investigation and resolution of systemic data gaps, conflicts, or quality issues identified through audits, integrity analyses, or stakeholder feedback.   Establish and maintain data quality metrics, acceptance criteria, and control checks for PODS content.  Engineering & Integrity Enablement    Partner with Engineering, Integrity Management, Compliance, and Operations SMEs to ensure PODS data accurately supports:    Integrity assessments and re-assessments   Event, inspection, and anomaly workflows   Risk Model Analysis   Regulatory reporting and audit evidence   Translate engineering and integrity requirements into PODS-compliant data structures and rules.   Integration & Technical Support    Support technical integration between PODS, GIS platforms, integrity tools, and downstream consumers (e.g., reporting, dashboards, analytics).   Provide technical guidance to Geospatial Data Analysts and other data contributors on proper data population, attribute usage, and dependency impacts.   Support future data remediation or onboarding efforts by designing repeatable, controlled cleanup and loading approaches.   Audit & Regulatory Support    Provide technical defensibility for PODS data during internal and external audits by:    Explaining data lineage, validation controls, and governance decisions   Supporting responses to regulator questions tied to spatial and asset data accuracy    Required Qualifications:   Engineering degree or equivalent technical background (e.g., Civil, mechanical, or any other relevant engineering streams).