Remote Senior Data Engineer: Scalable Pipelines & AI

Piper Companies; United States; Remote; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k

PTO

Sick leave

Job summary

Piper Companies is seeking a Sr. Data Engineer III to join a cloud-based data platform in a fully remote role. Candidates must reside in the EST or CST time zones and be authorized to work in the United States.

The role focuses on designing and developing scalable data pipelines, ETL workflows, and reporting solutions to power business-critical systems using SQL, Python, dbt, Azure Data Factory, Fabric, and Spark. Collaboration with cross-functional teams is essential.

Qualifications

• ,

Responsibilities

• 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.

Skills

SQL

Python

dbt

C#

Azure Data Factory

Microsoft Azure

Fabric

Databricks

Snowflake

Git

Tools

Azure Data Factory

Databricks

Snowflake

REST APIs

SOAP APIs

Job description

Piper Companies is seeking a Sr. Data Engineer III to join a cloud-based data platform in a fully remote role. Candidates must reside in the EST or CST time zones and be authorized to work in the United States.

The role focuses on designing and developing scalable data pipelines, ETL workflows, and reporting solutions to power business-critical systems using SQL, Python, dbt, Azure Data Factory, Fabric, and Spark. Collaboration with cross-functional teams is essential.