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Health-eCommerce.com

Senior Data Engineer

United States

Apply on Health-eCommerce.com’s site ↗View original ad
Location
United States
Work
Remote
Employment
Not stated
Level
Senior
Function
Data & AI
Pay
$130K – $165K a year (read from the ad)
Posted
7 months ago

Pay and the market here

The top of this role’s range, $165K a year, is 21% below the median of $210K for senior data jobs in United States (middle half $170K – $247K, 1,530 jobs that state pay).

6,998 data jobs open in United States: 24% remote, 1,641 posted in the last 30 days.

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About the role

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

Candidate Privacy Notice

Source

Posted by Health-eCommerce.com on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 11:52 UTC; the original is the reference.

View the original ad ↗

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