Senior Data Engineer

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-09-21

Job description

About the Role

We are seeking an experienced Senior Data Engineer to join our growing Data & Analytics team.  This role will be responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support our organization’s data needs.   

Specific Responsibilities:

• Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage
• Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions
• Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data
• Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities
• Design and implement complex data models on Azure Synapse Analytics to support data warehousing Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management.
• Manage and optimize Apache Spark pools for high-performance data processing tasks.
• Develop and maintain ETL processes and data pipelines using Python scripting.
• Ensure data quality and integrity across all platforms and systems.
• Collaborate with cross-functional teams to translate business needs into technical specifications.
• Stay current with industry trends and advancements in Azure data services. 

What you'll need:

• Bachelor’s degree in Computer Science, Engineering, or related field
• Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure
• Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools.
• Expertise in Python scripting and other programming languages such as SQL and Java
• Senior level knowledge of data modeling, processes, and data warehouse concepts
• Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders
• Experience with data modeling, warehousing, and building ETL pipelines
• Familiarity with Azure Data Factory, Azure Data Lake Storage, and other Azure data services 

Note for Current Employees:

Please use the internal job board in Greenhouse to apply. Applications submitted through this external link will not be tagged as internal.

Compensation, Benefits, & Additional Details:

Health-E Commerce's compensation philosophy is grounded in market data and internal equity to ensure fairness and consistency across the team. Individuals new to the company should generally expect offers to fall between the entry point and midpoint of the salary range.  Our goal is to provide an offer that supports growth potential within the role and allows for future salary progression.  

• Compensation: $130,000 - $165,000
• Discretionary Annual Bonus Eligibility: Up to 10%
• Medical, Dental, Vision, and 401K with a company match
• Dependent Care, FSA & HSA accounts
• Paid Parental & Bonding Leave
• Flexible PTO & office closure on all major holidays
• Monthly wellness & internet reimbursements
• Professional development including certification support & leadership coaching
• Mental Health resources
• 100% remote within the United States
• Must be able to work EST hours

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Field: Technology Sub-niche: Data, analytics and AI All jobs at Health-E Commerce

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About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at Health-E Commerce. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

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FAQ

What is the Senior Data Engineer job at Health-E Commerce?

A senior level role in technology (data, analytics and ai) listed 48 days ago. The full description is on this page and on The Muse.

Where is this job?

Remote / flexible (United States). A remote or flexible location is listed; confirm with the employer which states are accepted.

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How old is this listing?

It was posted on 2026-09-21 (48 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in the United States.

Sources and terms

• Job data: The Muse public API (listing dated 2026-09-21). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

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