
Senior Data Engineer
FSAStore.com3 months ago
Remote, United StatesSenior
Base Salary
$130k - $165k/yr
Responsibilities
- Design, develop, and maintain scalable data pipelines and infrastructure for data integration, processing, and storage.
- Design and implement complex data models in Azure Synapse Analytics to support data warehousing.
- Develop and maintain ETL processes and data pipelines using Python, SQL, and other programming languages.
- Manage and optimize Apache Spark pools for high-performance data processing.
- Use Azure DevOps for continuous integration, continuous delivery, and project management activities.
- Ensure data governance, security, quality, integrity, reliability, and accuracy across platforms and systems.
- Collaborate with analysts, stakeholders, and cross-functional teams to translate business needs into technical specifications.
- Evaluate new technologies and stay current with Azure data services and industry trends.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 5 years of experience in data engineering, focused on building and maintaining data pipelines and infrastructure.
- Strong proficiency with Azure Synapse Analytics, Azure DevOps, and Apache Spark pools.
- Expertise in Python and other programming languages such as SQL and Java.
- Senior-level knowledge of data modeling, data processes, and data warehouse concepts.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Familiarity with Azure Data Factory, Azure Data Lake Storage, and other Azure data services.
- Strong communication skills and the ability to explain technical concepts to non-technical stakeholders.
Benefits
- Compensation is listed as $130,000-$165,000, with eligibility for a discretionary annual bonus of up to 10%.
- Medical, dental, vision, and 401K benefits with a company match are provided.
- Dependent Care, FSA, and HSA accounts are available.
- Paid parental and bonding leave, flexible PTO, and office closure on major holidays are provided.
- Monthly wellness and internet reimbursements are available.
- Professional development includes certification support and leadership coaching.
- Mental health resources are provided.
- The role is 100% remote within the United States, and employees must be able to work EST hours.
Tech Stack
Categories
Data Engineering