Senior Data Engineer

Summary

Join our growing IT team as a Senior Azure Data Engineer! Design, develop, and maintain scalable data pipelines and infrastructure. Collaborate with stakeholders to translate data requirements into technical solutions. Implement best practices for data governance and quality assurance. Explore and evaluate new technologies to enhance our data infrastructure. Utilize Azure DevOps and manage Apache Spark pools. This role requires a Bachelor's degree, 5+ years of experience, and strong proficiency in Azure services and programming languages.

Requirements

• 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

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 and big data solutions
• 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

Benefits

• Compensation: $125,000 - $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