Sr Data Engineer

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

Benefits offered by this job

Medical benefits

401(k)

PTO

Job summary

Piper Companies is seeking a Sr. Data Engineer to lead the design and implementation of a cloud-based data platform for global luxury travel bookings. This fully remote role in the United States emphasizes scalable pipelines, ETL, and data quality.

You will work with Azure Fabric, Azure Data Factory, Spark, and Python; mentor a small team, review code, and collaborate with vendors and stakeholders. 5+ years of data engineering and strong SQL/Python are preferred.

Qualifications

• 5+ years of data engineering experience with strong SQL and Python skills.
• Experience with modern cloud data platforms and ETL workflows.
• Leadership/mentoring in a small to mid-sized team.

Responsibilities

• Lead the design, development, and optimization of scalable data pipelines and ETL workflows.
• Utilize Azure Fabric, Azure Data Factory, Spark, and Python to automate data processes.
• Develop and maintain API integrations with vendors and internal teams.
• Provide technical leadership through code reviews and best practices.
• Monitor, troubleshoot, and improve data platform performance.

Skills

SQL

Python

Big data

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 09/18/2026. 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

#LI-MM7

#LI-REMOTE