DATA ENGINEER V

Murphy USA is in the midst of a technological transformation, investing heavily in our team and technologies to drive business impact. We are looking for a talented Data Engineer to build and maintain our data infrastructure, ensuring our analytical capabilities stay ahead of the curve.

GENERAL DESCRIPTION OF POSITION
The Data Engineer V will be at the forefront of developing and supporting robust data products on a modern cloud-based data lake. The successful individual in this position will leverage expertise and knowledge of multiple technologies and data domains to help build a robust, scalable and reliable data engineering platform and enable us to transform raw data into actionable insights, driving strategic decisions that shape the future of our company.

NOTE: This role can be based in either Whitehouse Station, NJ or El Dorado, AR.

ESSENTIAL DUTIES AND RESPONSIBILITIES
• Architecting, implementing, deploying, and maintaining data-driven solutions.
• Building and simplifying enterprise data pipelines with an emphasis on security, reusability, and data quality.
• Debugging and resolving application issues, performing root cause analysis, and engaging in preventive maintenance.
• Developing in languages such as Python, SQL, Scala, R, C#, Java, or Rust.
• Utilizing Infrastructure as Code tools like Terraform for deployment automation.
• Participating in data governance to promote data quality and best practices.
• Leveraging DevOps tools to automate deployment and validation of data engineering pipelines at scale.
• Streamlining efficient data transformations for priority use cases
• Planning and collaborating with technical and non-technical teams on business initiatives.
• Partnering with business units and peer technology groups to support analytics execution.

QUALIFICATIONS
• Experience in building and maintaining data pipelines and data-driven systems.
• Proficiency in one or more programming languages (e.g., Python, SQL, Scala, R, C#, Java, Rust).
• Proficiency with DataBricks.
• Knowledge of Infrastructure as Code tools (e.g., Terraform).
• Strong communication skills and the ability to work in a fast-paced, multi-task environment.
• Experience with big data architecture, ETL orchestrations, and BI tools.

EDUCATION AND EXPERIENCE
Broad knowledge of technical capabilities such fields as development, database administration, architecture, Etc. Equivalent to a four-year college degree, plus 3 to 5 years related experience and/or training, or equivalent combination of education and experience.