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Piper Companies is seeking a Sr. Data Engineer III to join an enterprise technology organization supporting a modern, cloud-based data platform. The Data Engineer III will lead the design and development of scalable data pipelines, integrations, and reporting solutions that power business-critical systems. This is a fully remote position. Candidates must reside in the EST or CST time zone. Must be authorized to work in the United States.
Job Responsibility:
Design and maintain scalable data pipelines and ETL workflows
Develop and optimize advanced SQL queries for performance and reliability
Leverage Azure, Fabric, Spark, and Python to automate complex data processes
Build and support REST and SOAP APIs for system integrations
Monitor and troubleshoot data pipelines to ensure high availability
Identify and resolve bottlenecks in data workflows
Lead engineering efforts supporting AI and machine learning initiatives
Collaborate with stakeholders and cross-functional teams
Conduct code reviews and contribute to technical documentation
Provide Tier 3 support for reporting and integrated systems
Mentor team members and lead complex technical projects
Requirements:
5+ years of data engineering or related experience
Strong expertise in SQL, Python, dbt, and or C#
Experience with Azure Data Factory or similar orchestration tools
Hands-on experience with Microsoft Azure and Fabric
Experience with Databricks or Snowflake is acceptable
Strong understanding of data modeling and ETL concepts
Experience with Git and version control best practices
Ability to work independently and solve complex problems
Background working in small or mid-sized environments with leadership experience