Senior Data Engineer - 174539 - 174697 - 175077

Zachary Piper Solutions; 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 to join a remote, permanent role supporting teams across the Eastern and Central time zones. You will design, modernize, and optimize enterprise data platforms, mentoring engineers and owning architecture decisions.

The role emphasizes hands-on data engineering with Azure, SQL, Python, and cloud-based pipelines, ensuring data quality and governance while collaborating with stakeholders across the organization.

Qualifications

• 5+ years of professional data engineering experience with hands-on SQL and Python.
• Experience building cloud-based data pipelines and ETL processes.

Responsibilities

• Design, build, and optimize cloud data pipelines and ETL processes for reporting and operations.
• Lead architecture decisions, platform modernization, and scalability initiatives.
• Mentor junior engineers, conduct code reviews, and enforce data quality standards.
• Collaborate with stakeholders to translate business requirements into scalable data solutions.

Skills

SQL

Python

Data modeling

Data governance

Data quality

Tools

Azure Data Factory

Microsoft Azure

Databricks

Snowflake

AWS

dbt

C#

Power BI

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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