Health-E Commerce
via Greenhouse
Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 16h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 160d ago
The date the source published, not the day we noticed it (2026-04-08). Last seen at its source 2h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$130k–165k/yr
Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 18d ago · last seen 2h ago
The listing
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