Sr. Data Engineer III - 173044

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

Benefits offered by this job

Medical

Dental

Vision

401k

PTO

Sick leave

Job summary

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 design and develop scalable data pipelines, integrations, and reporting solutions powering business-critical systems.

This fully remote role requires residency in EST or CST time zones and US work authorization. Responsibilities include building ETL workflows, optimizing SQL, leveraging Azure/Data Fabric/Spark/Python, and API

Qualifications

• 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.

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#

Git

Tools

Azure Data Factory

Microsoft Azure

Fabric

Databricks

Snowflake

REST APIs

Job description

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.

Responsibilities for the Sr. Data Engineer III:

• 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 for the Sr. Data Engineer III:

• 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
• Must be authorized to work in the United States

Compensation for the Sr. Data Engineer III:

• Salary range: $130,000 to $150,000, depending on experience
• Full benefits including medical, dental, vision, 401k, and PTO, sick leave as required by law

This job opens for applications on August 27th, 2026. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords

Data Engineer, Azure Data Engineer, ETL Developer, Data Pipelines, Azure Data Factory, Microsoft Fabric, Python, SQL, Databricks, Snowflake, API Integration, Cloud Data Platform