Senior Full Stack Engineer

Job Description:

• Build, test, maintain, and enhance full stack applications and data solutions across the front end, back end, and database layers.
• Contribute across the software development lifecycle, including requirements analysis, technical design, implementation, testing, deployment, and production support.
• Develop and consume RESTful APIs to support integration between applications, data platforms, and enterprise systems.
• Build and maintain ETL/ELT data pipelines to support batch and near-real-time data processing, and implement data transformation workflows that are performant and maintainable.
• Develop and support data models, transformations, and workflows in Snowflake to enable scalable and efficient data processing.
• Use Apache Airflow to orchestrate, schedule, monitor, and troubleshoot data pipelines and automated workflows.
• Collaborate with infrastructure and application teams to deploy, support, and improve solutions in AWS.
• Implement application and data pipeline features that integrate with relational databases and AWS services such as S3 and related cloud resources.
• Partners with Cloud Engineering, DevSecOps, and application teams to implement infrastructure as code (IaC) and CI/CD pipelines for Snowflake objects and deployments.
• Monitor and troubleshoot application, pipeline, and integration issues in development and production environments, and document root cause and resolution steps.
• Work with cross-functional teams in an Agile environment to deliver application and data solutions that support business and user needs.

Requirements:

• US citizen or Authorized to Work and lived in the US for 3 of the last 5 years
• Minimum of 8 years of relevant experience with a Bachelor’s degree, or a Master’s degree with at least 6 years of experience
• 4 years of specialized experience may be substituted for a Bachelor’s degree
• Experience building full stack applications using modern development frameworks, relational databases, and RESTful APIs
• Experience with SQL and Python for application development, data processing, and integration tasks
• Hands-on experience designing, building, and maintaining ETL/ELT pipelines and data integration workflows
• Experience with Snowflake for data modeling, transformation, and query optimization
• Experience using Apache Airflow for workflow orchestration, scheduling, and monitoring
• Experience supporting cloud-based applications and data solutions in AWS, including deployment, monitoring, and troubleshooting
• Strong communication skills and experience collaborating in an Agile environment.

Benefits:

• health and retirement benefits
• discretionary bonuses
• reimbursement for professional development opportunities