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FSAStore.com

Senior Data Engineer

  • Seen live on FSAStore.com's site today
  • Senior
Pay
$130k to $165k a year USD
Location
United States
Open for
12+ days
First seen
Oct 23, 2026
Apply on FSAStore.com's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. FSAStore.com's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking FSAStore.com, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

5+ years of experience
“Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure” (quoted from the posting)

What the posting discloses

Pay
$130k to $165k a year USD
Compensation: $130,000 - $165,000 (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

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

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