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# Sr. Data Engineer IV

- **Company:** Robert Half
- **Location:** Philadelphia, PA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Data Analysis, Cloud Database, Code Review, Information Engineering, Extract Transform Load (ETL), Digital Assets, Github, Python (Programming Language), SQL Databases, Tableau (Software), Snowflake, Software Troubleshooting, Technical Debt, Concourse, Pyspark, Core Data, Infrastructure Automation Frameworks, Apache Kafka, Data Management, Cloud Migration, Terraform, Looker Analytics, Data Pipelines, Legacy Systems, Databricks
- **Published:** September 19, 2026
- **Apply:** https://dejobs.org/x/x/8A9D8987A5E641ABA8E9C952BCADAA16/job/

## About the Role

* Strong Data Engineering experience with a focus on ETL development and data pipeline engineering.
 * Hands-on experience with Databricks, Python, PySpark, and SQL.
 * Strong AWS experience, including S3, EMR, Lambda, and EventBridge.
 * Experience building, testing, and maintaining cloud-based data pipelines and data platforms.
 * Experience supporting cloud migration and modernization initiatives.
 * Experience with Snowflake.
 * Experience using Terraform for infrastructure provisioning and management.
 * Experience implementing and supporting CI/CD pipelines using GitHub Actions or Concourse.
 * Strong troubleshooting, testing, and production support experience.
 * Ability to work collaboratively in an Agile development environment.

Preferred Qualifications:

 * Approximately 8+ years of Data Engineering experience.
 * Experience with Kafka.
 * Familiarity with Tableau and/or Looker environments.
 * Experience supporting analytics and reporting data platforms.
Technology Doesn't Change the World, People Do.®

## Description

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., * 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.