Sr Data Engineer - 174648

Piper Companies; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Benefits package

Remote work equipment

Job summary

Piper Companies is seeking a Sr. Data Engineer to lead a cloud-based data platform for global luxury travel bookings. This fully remote role emphasizes scalable pipelines, Azure-based tooling, and mentorship in a small, impactful team.

The ideal candidate has 5+ years in data engineering, strong SQL and Python, and hands-on experience with Azure Data Factory, Spark, Snowflake or Databricks, and API integrations, in an Eastern/ Central US-friendly time zone.

Qualifications

• 5+ years of data engineering experience with strong expertise in SQL, Python, and modern data platforms.
• Experience with Microsoft Azure Fabric preferred; candidates with Snowflake or Databricks experience will also be considered.
• Hands-on experience with data orchestration tools such as Azure Data Factory and strong understanding of ETL and data modeling concepts.
• Leadership experience within a small or mid-sized environment, with a demonstrated ability to mentor team members and lead technical initiatives.

Responsibilities

• Lead the design, development, and optimization of scalable data pipelines and ETL workflows supporting business-critical systems and analytics.
• Utilize Microsoft Azure Fabric, Azure Data Factory, Spark, and Python to automate and enhance complex data processes.
• Develop and maintain API integrations (REST and SOAP) while collaborating with third-party vendors and internal stakeholders.
• Provide technical leadership through code reviews, mentorship, documentation, and guidance on data engineering best practices.
• Monitor, troubleshoot, and improve data platform performance, ensuring reliability, scalability, and minimal downtime.

Skills

SQL

Python

Data modeling concepts

Mentoring/leadership

Cloud data platforms

Tools

Azure Fabric

Azure Data Factory

Spark

Snowflake

Databricks

Job description

Piper Companies is seeking a Sr. Data Engineer to lead the design and implementation of a modern, cloud-based data platform supporting global luxury travel bookings. The Sr. Data Engineer will play a key role in building scalable data solutions, optimizing integrations, and mentoring team members within a collaborative, high-impact environment. This is a fully remote opportunity for an experienced data professional who thrives in smaller organizations and is passionate about driving data innovation through modern cloud technologies.

Responsibilities of the Sr. Data Engineer:

• Lead the design, development, and optimization of scalable data pipelines and ETL workflows supporting business-critical systems and analytics.
• Utilize Microsoft Azure Fabric, Azure Data Factory, Spark, and Python to automate and enhance complex data processes.
• Develop and maintain API integrations (REST and SOAP) while collaborating with third-party vendors and internal stakeholders.
• Provide technical leadership through code reviews, mentorship, documentation, and guidance on data engineering best practices.
• Monitor, troubleshoot, and improve data platform performance, ensuring reliability, scalability, and minimal downtime.

Qualifications of the Sr. Data Engineer:

• 5+ years of data engineering experience with strong expertise in SQL, Python, and modern data platforms.
• Experience with Microsoft Azure Fabric preferred; candidates with Snowflake or Databricks experience will also be considered.
• Hands-on experience with data orchestration tools such as Azure Data Factory and strong understanding of ETL and data modeling concepts.
• Leadership experience within a small or mid-sized environment, with a demonstrated ability to mentor team members and lead technical initiatives.
• Must reside in the Eastern or Central Time Zone and be authorized to work in the United States.

Compensation for the Sr. Data Engineer includes:

• Salary range: $120,000 - $150,000 annually
• Comprehensive benefits package including medical, dental, vision, 401(k), and PTO
• Fully remote work environment with company-provided equipment

This job opens for applications on 10/02/2026. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords: Sr. Data Engineer, Data Engineer, Azure Fabric, Microsoft Fabric, Azure Data Factory, Databricks, Snowflake, SQL, Python, Spark, ETL, Data Pipelines, Cloud Data Platform, Leadership, Remote

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