Data Engineer I

Murphy USA is seeking a Data Engineer I to develop and support data products on a cloud data lake, build scalable pipelines, enable enterprise analytics, and partner with business units to drive analytics execution. Location: El Dorado, AR onsite.

Responsibilities

• Design, develop, and support data products on a modern cloud data lake, applying cross-domain technology knowledge to deliver a scalable, reliable data engineering platform.
• Provide data services for enterprise analytics by deploying automated pipelines at scale and optimizing data transformations for priority use cases.
• Contribute hands-on to code development and collaborate with business units and technology peers to enable analytics execution.
• Collaborate across the organization to design, implement, deploy, and maintain data‑driven systems.
• Create and maintain enterprise data pipelines with emphasis on security, reusability, and data quality.
• Debug issues, perform root-cause analysis, and contribute to proactive and preventive maintenance.
• Contribute to technical debt reduction and adhere to clean code practices.
• Proficiency in one or more languages such as Python, SQL, or PySpark.
• Experience with infrastructure as code tools, including Databricks Asset Bundled and Terraform.
• Participate in the data governance council to define and review standards, guidelines, and data models to uphold data quality.
• Utilize DevOps tooling to automate deployment and validation of data pipelines.
• Develop and execute comprehensive testing plans and documentation for assigned data system components.
• Identify defects and implement fixes for code and integration within the data architecture.
• Plan and collaborate with both technical and non-technical stakeholders on business initiatives.

Requirements

• Bachelor's degree required
• Minimum 1 year of professional experience in data engineering or related field
• Strong fundamentals in BI systems design
• Knowledge of big data architectures and technology landscape
• Experience with ETL orchestration
• Excellent communication skills
• Ability to work effectively in a fast-paced, multitasking environment

Technologies

• Python
• SQL
• PySpark
• Databricks Asset Bundled
• Terraform