Senior Data Engineer - 174539 - 174697 - 175077

ZP Group; United States; Remote; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Job summary

Piper Companies seeks a Senior Data Engineer for a fully remote, permanent role supporting teams across the Eastern and Central time zones. You will design, modernize, and optimize enterprise data platforms, while mentoring engineers and owning architecture decisions.

You will lead cloud-based data pipelines, work with Azure, Python, and SQL, and collaborate with stakeholders to deliver scalable data solutions. Strong leadership and hands-on ETL expertise are essential.

Qualifications

• 5+ years of professional data engineering experience with strong SQL and Python
• Experience building solutions on Microsoft Azure, including Azure Data Factory
• Proven leadership in architecture design and technical ownership in a small to mid-sized environment
• Strong ETL development, data modeling, and API integration experience (REST/SOAP)
• Experience with data platforms like Databricks, Snowflake, AWS; familiarity with Microsoft Fabric or C# is a plus

Responsibilities

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

Skills

SQL

Python

Data modeling

ETL development

REST/SOAP API integrations

Leadership

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 10/2/2026. 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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