Data Platform Automation Engineer

Marathon Petroleum Corporation; San Antonio (TX); Presencial; USD 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health, Vision, Dental Insurance

Paid Time Off

401k Matching

Paid Parental Leave

Educational Reimbursement

Descripción de la vacante

Marathon Petroleum Corporation is seeking a Data Operations Engineer in San Antonio, TX. You will design, build, automate and integrate solutions across MPC’s enterprise data platforms to improve reliability and scalability, working with Cognite Data Fusion, Databricks and Azure.

You will contribute to secure, governed data products, support DevOps practices and monitor data pipelines while collaborating with senior engineers and architects.

Formación

• Bachelor’s Degree in Information Technology, related field or equivalent experience required.
• 2+ years of relevant experience in data platforms, automation or cloud environments.
• Experience with Azure, Databricks, Cognite Data Fusion, SQL, Python, APIs, DevOps or monitoring tools preferred.

Responsabilidades

• Proactively identifies operational inefficiencies and recommends solutions.
• Independently manages platform updates and migrations.
• Implements security protocols for data platforms and supports deployments.
• Develops reusable automation, workflows and platform utilities for data products.
• Monitors platform health, data pipelines and alerts; escalates with clear analysis.
• Collaborates with architects and engineers to deliver scalable integration solutions.

Conocimientos

Data Governance

API Integration

DevOps

Platform Automation

Databricks

Azure

Python

SQL

Educación

Bachelor’s Degree in Information Technology

Herramientas

Cognite Data Fusion

Databricks

Azure

Descripción del empleo

Marathon Petroleum Corporation is seeking a Data Operations Engineer in San Antonio, TX. You will design, build, automate and integrate solutions across MPC’s enterprise data platforms to improve reliability and scalability, working with Cognite Data Fusion, Databricks and Azure.

You will contribute to secure, governed data products, support DevOps practices and monitor data pipelines while collaborating with senior engineers and architects.