Data Engineer I

Posted 3 Days Ago
El Dorado, AR, USA
In-Office
60K-69K Annually
Junior
Marketing Tech • Retail
The Role
Develop and support scalable data products, cloud data lake platforms, enterprise data pipelines, and analytical data services. Responsibilities include coding, data transformation, debugging, root cause analysis, testing, infrastructure as code, DevOps automation, data governance, quality improvement, and collaboration with technical and business teams.
Summary Generated by Built In
Job Summary & Responsibilities

GENERAL DESCRIPTION OF POSITION
The Data Engineer is responsible for development and support of data products on a modern cloud-based data lake, leveraging expertise and knowledge of multiple technologies & data domains to help build a robust, scalable, and reliable data engineering platform.
Additionally, a Data Engineer is responsible for providing data services for enterprise-grade analytical environments, utilizing automated data pipelines at scale, and streamlining efficient data transformations for priority use cases. This role can be involved hands on in development of the codebase and partners with business units and peer technology groups to support analytics execution.
ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Partner across the organization to architect, implement, deploy, and maintain data-driven systems solutions
  • Build, maintain and simplify enterprise data pipelines with emphasis on security, reusability & data quality.
  • Perform debugging and fixing application issues, root cause analysis, and help in proactive/preventive maintenance.  Help in technical debt reduction and follow clean code principles
  • Development experience in one or more languages (e.g. Python, SQL, PySpark)
  • Experience in the use of Infrastructure as Code tools (Databricks Asset Bundled,Terraform)
  • Engagement in data governance council to define, develop, and review standards, guidelines, and data models to promote data quality and best practices
  • Leverage DevOps tools to automate deployment and validation/test automation of data engineering pipelines. 
  • Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies defects and creates solutions for issues with code and integration into data system architecture.
  • Effectively plan and collaborate with technical and non-technical teams on business initiatives

QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily.  The requirements listed below are representative of the knowledge, skill, and/or ability required: 

    •  Technical knowledge of BI systems design
    •  Big data architecture and technology landscape
    •  ETL orchestrations
    •  Strong communications skills
    •  Comfort working in a fast-paced, multi-task environment

EDUCATION AND EXPERIENCE
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and relevant experience.
 
Demonstrated understanding of core technology disciplines, including but not limited to software development, database administration, systems architecture, cloud technologies, infrastructure, and related technical domains.
1-2 years of relevant experience in data engineering, data analytics, software development, database administration, or a related technical field.

Pay Range

$59,800 - $69,400

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent education and relevant experience
  • 1-2 years of relevant experience in data engineering, data analytics, software development, database administration, or a related technical field
  • Development experience in Python, SQL, PySpark, or comparable programming languages
  • Technical knowledge of BI systems design
  • Knowledge of big data architecture and technology landscapes
  • Knowledge of ETL orchestration
  • Understanding of software development, database administration, systems architecture, cloud technologies, and infrastructure
  • Strong communication skills
  • Ability to work in a fast-paced, multi-task environment
  • Experience with infrastructure as code tools such as Databricks Asset Bundles and Terraform
  • Experience with DevOps tools, automated deployment, and test automation for data engineering pipelines
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The Company
HQ: El Dorado, Arkansas
5,588 Employees
Year Founded: 1996

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.

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