Senior Data Engineer - 174539 - 174697

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

Benefits offered by this job

Medical/Dental/Vision

401(k)

Paid Time Off

Job summary

Piper Companies is seeking a Senior Data Engineer for a fully remote permanent position, supporting teams across the Eastern and Central time zones. The role focuses on designing, modernizing, and optimizing enterprise data platforms while serving as a hands-on technical leader.

The candidate will mentor engineers, own architecture decisions, and build scalable cloud-based data solutions using Azure, Python, SQL, and ETL tooling. Strong leadership in a small/mid-sized environment is preferred.

Qualifications

• 5+ years of professional data engineering experience.
• Strong hands-on SQL and Python experience.
• Experience with Microsoft Azure data platforms (Azure Data Factory).
• Leadership experience in a small to midsize environment and technical ownership.
• Expertise in ETL development, data modeling, API integrations, and data pipelines.

Responsibilities

• Design, develop, and optimize cloud-based data pipelines and ETL processes.
• Lead data architecture decisions and platform modernization efforts.
• Build and maintain data solutions using Azure, Python, SQL, and orchestration tools.
• Collaborate with stakeholders to translate business requirements into data solutions.
• Mentor engineers, perform code reviews, and promote data quality and governance.

Skills

SQL

Python

Leadership

ETL

Data modeling

API integrations

Tools

Azure Data Factory

Microsoft Fabric

Databricks

Snowflake

AWS

dbt

C#

Job description

Piper Companies is seeking a Senior Data Engineer to join an established organization within the hospitality and travel technology industry for a fully remote permanent position supporting teams across the Eastern and Central time zones. The Senior Data Engineer will play a key role in designing, modernizing, and optimizing enterprise data platforms while serving as a hands-on technical leader. This Senior Data Engineer position is ideal for someone who enjoys owning architecture decisions, mentoring engineers, and building scalable cloud-based data solutions.

Responsibilities of the Senior Data Engineer include:

• Design, develop, and enhance cloud-based data pipelines, integrations, and ETL processes that support reporting and operational initiatives.
• Lead technical decision-making related to data architecture, platform modernization, and long-term scalability strategies.
• Build and maintain data solutions utilizing Azure technologies, Python, SQL, and orchestration tools to improve reliability and efficiency.
• Collaborate with stakeholders and engineering teams to translate business requirements into sustainable data solutions.
• Mentor junior engineers, conduct code reviews, and establish best practices around data quality, governance, and development standards.

Qualifications for the Senior Data Engineer include:

• 5+ years of professional data engineering experience with strong hands‑on expertise in SQL and Python.
• Experience developing solutions within Microsoft Azure, including Azure Data Factory or comparable cloud-based data platforms.
• Proven leadership experience in a small or midsized environment with involvement in architecture design and technical ownership.
• Strong understanding of ETL development, data modeling, API integrations (REST/SOAP), and enterprise data pipelines.
• Experience with Microsoft Fabric, Databricks, Snowflake, AWS, dbt, or C# is highly preferred.

Compensation for the Senior Data Engineer:

• Salary Range: $130,000-$150,000/year (USD)
• Comprehensive Benefits: Medical, Dental, Vision, 401(k), Paid Time Off, and additional company-sponsored benefits.

This job opens for applications on 09/16/2026. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords: data engineer, senior data engineer, Azure, Microsoft Fabric, Azure Data Factory, SQL, Python, Databricks, Snowflake, AWS, ETL, data pipelines, data warehouse, cloud architecture, data modeling, API integration, REST, SOAP, dbt, C#, Power BI, reporting, analytics, data governance, data quality, cloud migration, big data, machine learning, architecture design, leadership, mentorship, enterprise data platforms, Git, automation, cloud engineering, data modernization, scalable systems, business intelligence, Spark.

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