Sr. Data Engineer IVContract through 12/31/26 with ongoing extensions

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REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PA

•We are seeking a Senior Data Engineer to support enterprise data modernization initiatives focused on inventory, supply, and yield analytics. This role will be responsible for designing, building, and enhancing scalable data pipelines within a modern cloud-based data ecosystem. The ideal candidate brings strong hands-on expertise in Databricks, Python, PySpark, and AWS, along with experience supporting migration efforts, modernizing legacy platforms, and delivering reliable data assets for analytics and reporting environments.

Responsibilities:

Design, develop, test, and maintain scalable ETL processes and data pipelines using Databricks, Python, PySpark, AWS, and Snowflake.

Build and enhance data engineering solutions supporting inventory, supply, and yield analytics initiatives.

Develop core data assets and pipelines that support enterprise reporting and analytics platforms, including Tableau.

Modernize legacy data engineering jobs and contribute to cloud migration and technical debt reduction efforts.

Create and maintain technical documentation, specifications, testing artifacts, and quality assurance processes.

Provide post-deployment support, troubleshoot production issues, and ensure reliable pipeline operations.

Identify and mitigate risks, including single points of failure (SPOF), to improve platform stability and resiliency.

Develop and manage infrastructure using Terraform.

Implement and maintain CI/CD pipelines using tools such as GitHub Actions or Concourse.

Collaborate with engineering teams, stakeholders, and Agile Release Train (ART) members to define requirements and deliver scalable solutions.

Participate in code reviews, knowledge sharing, and continuous improvement initiatives.