Senior Data Engineer

About this 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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