Senior Data Engineer
At a glance
Senior Data Engineering role at FSAStore.com. United States · $130,000–$165,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain pipelines and data infrastructure for integrating, processing and storing information
- Turn analysts’ and other stakeholders’ data needs into technical solutions and specifications
- Create warehouse data models in Azure Synapse Analytics and manage Apache Spark pools for processing
- Use Python to maintain ETL workflows, while applying controls for data quality, security and governance
- Use Azure DevOps for code delivery and project work, and assess tools that could improve data infrastructure
What you bring
- At least five years in data engineering, focused on building and maintaining pipelines and infrastructure
- A bachelor’s degree in computer science, engineering or a related area
- Strong command of Azure Synapse Analytics, Azure DevOps and Apache Spark pools
- Expert Python skills, plus programming ability in SQL, Java or another listed language
Who this fits
This senior role suits someone comfortable translating technical data concepts for nontechnical partners and working across teams. It is fully remote within the United States, with EST working hours required.
From the employer
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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