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W. L. Gore & Associates · 16 hours ago

Data Engineer - Supply Chain- Remote

United States

Full-time

Remote

Mid Level

3+ years exp

W. L. Gore & Associates is seeking a Data Engineer to join their Supply Chain Analytics team, focusing on generating actionable supply chain insights. The role involves developing data pipelines, supporting analytics datasets, and collaborating cross-functionally to enhance analytics maturity within the supply chain.

Health CareManufacturingMedical Device

No H1B

Responsibilities

Partner with supply chain and technical teams to understand stakeholder needs, then prototype and develop new data tools or visualizations

Build and maintain data pipelines and infrastructure using a suite of data and ETL tools, connecting data sources, data marts, and analytics applications

Work with large and complex datasets that span multiple areas of the organization; serve as a subject matter expert for data modeling and extracting data for self-service reporting and ad hoc analyses

Diagnose issues with data flows and sources, apply technical solutions and collaborate with team members to make process improvements where needed

Establish and maintain quality, confidence and shared understanding of data resources through process improvements, documentation, and testing

Conduct statistical analyses and build predictive and prescriptive models to support data-driven decision making

Collaborate with the Data Science and Engineering Team to advance tools, infrastructure and processes to take advantage of emerging technologies and methods

Promote best practices in data management, analysis, and communication of insights

Maintain compliance with training expectations as required for this position

Qualification

Data pipeline developmentData analysisStatistical analysisData visualizationETL toolsSQLPythonCloud data infrastructureProject executionCommunication skillsCollaboration

Required

Bachelor's degree in Data Science, Engineering, Mathematics/Statistics, Business or related quantitative discipline

Minimum 3 years of relevant experience in data analysis, data science or data engineering

Experience building data pipelines or integrations to provide data to applications, including systematization with ETL tools or applications

Expertise working with large datasets using database platforms and/or cloud data infrastructure

Expertise profiling data to determine its characteristics, identify issues and implement methods to clean and improve it

Expertise in analytical methodologies including statistical analyses, data visualizations, predictive modeling, or operational dashboards

Proficiency with data manipulation, visualization, modeling and analysis tools, such as Power BI, Databricks, SQL, Python, or KNIME

Solid knowledge of data engineering principles, including role-based access control, and ability to apply this knowledge in manufacturing and supply chain environments

Strong project execution and communication skills, including the ability to define projects, set stakeholder expectations, organize work streams and deliver solutions

Demonstrated ability to collaborate effectively with a variety of partners in complex projects