Data Engineer I

Murphy USA; El Dorado (AR); On-site; USD 70,000 - 95,000; Full time

Job summary

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 include designing and deploying data pipelines, collaborating with cross-functional teams, and maintaining data quality and security across enterprise systems.

Qualifications

• 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.

Responsibilities

• Design, develop, and support data products on a modern cloud data lake.
• Provide data services for enterprise analytics by deploying automated pipelines at scale.
• Collaborate with business units and tech peers to enable analytics execution.
• Maintain data pipelines with emphasis on security and data quality.
• Develop tests and documentation for data system components.

Skills

Python

SQL

PySpark

ETL orchestration

BI systems design

Data modeling

Education

Bachelor's degree

Tools

Databricks Asset Bundled

Terraform

Job description

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