Senior Data Engineer
$130k - $165kFull-time
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.
Vacancy posted 6 days ago
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