[Hiring] Senior Data Engineer @FSAStore.com

Role Description

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.

• 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.

Qualifications

• 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.

Benefits

• 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.