Engineer Jobs in El Dorado, AR

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3d ago

Data Engineer I

Murphy USA El Dorado, AR

El Dorado, AR

3d ago

Full time Big Data Bigdata Cloud

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Job Description

Benefits and culture

Murphy USA offers an on-site Data Engineer I role in El Dorado, Arkansas. You will contribute to building and supporting data products in a cloud-based data lake, enabling enterprise analytics and data driven decision making. The position emphasizes collaboration across business units and peer technology teams, clean code practices, and proactive maintenance to help reduce technical debt.

On-site opportunity in El Dorado, AR
Work on a cloud-based data lake and enterprise analytics programs
Collaborate with business units and technology peers to drive analytics initiatives
Focus on data quality, security, reusability, and maintainability of data pipelines
Hands-on work with a modern stack including Python, SQL, PySpark and infrastructure tools

Responsibilities

Develop and support data products on a modern cloud-based data lake, applying expertise across multiple technologies and data domains to build a robust, scalable platform
Provide data services for enterprise-grade analytics environments by implementing automated pipelines at scale and enabling efficient data transformations for priority use cases
Contribute hands-on in code development and partner with business units and peer technology groups to support analytics execution
Collaborate across the organization to architect, implement, deploy, and maintain data-driven systems
Build, maintain, and simplify enterprise data pipelines with an emphasis on security, reusability, and data quality
Debug and resolve application issues, perform root cause analysis, and assist with preventive maintenance
Support technical debt reduction and follow clean code principles
Development experience in one or more languages such as Python, SQL, or PySpark
Experience with Infrastructure as Code tools including Databricks Asset Bundled and Terraform
Engage with the data governance council to define and review standards, guidelines, and data models to promote data quality
Leverage DevOps practices to automate deployment and validation/testing of data pipelines
Write and execute comprehensive testing plans, protocols, and documentation for data system components
Identify defects and develop solutions for issues with code and integration into the data architecture
Plan and collaborate effectively with technical and non-technical teams on business initiatives

Technologies frequently used

Python
SQL
PySpark
Databricks Asset Bundled
Terraform

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