DATA ENGINEER
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 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.
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+ years related experience and/or training, or equivalent combination of education and experience.
Pay Range$89,100 - $116,700
Skills Required
- Experience building and maintaining data pipelines and data-driven systems
- Proficiency in one or more programming languages, including Python, SQL, Scala, R, C#, Java, or Rust
- Proficiency with Databricks
- Knowledge of Infrastructure as Code tools such as Terraform
- Strong communication skills and ability to work in a fast-paced, multitask environment
- Experience with big data architecture, ETL orchestration, and BI tools
- Four-year college degree or equivalent combination of education and experience
- At least 3 years of related experience and/or training, or equivalent combination of education and experience
What We Do
Murphy USA (NYSE: MUSA) is a leading retailer of gasoline and convenience merchandise with more than 1,700 stores located primarily in the Southwest, Southeast, Midwest and Northeast United States. The Company and its team of over 17,000 employees serve an estimated two million customers each day through its network of retail gasoline and convenience stores in 27 states. The majority of Murphy USA's stores are located in close proximity to Walmart Supercenters, but we also operate standalone stores that market gasoline and other products under the Murphy USA, Murphy Express, and QuickChek brands. Murphy USA ranks 214 among Fortune 500 companies. Such exponential growth speaks to Murphy’s commitment to provide quality fuels, convenient locations and best-in-class customer service. Today, the company continues to move forward for the benefit of its customers, investors, employees and other valued partners by making solid alliances, responsible investments and smarter business practices.
