Full Stack Engineer

NOTE: This is a full-time employment opportunity. The candidate MUST be authorized to work in the United States without sponsorship and able to complete/pass/hold a public trust investigation. This is a remote opportunity; however, preference is given to candidate local to the DMV area; candidate must be based in the U.S.; have resided in the U.S. for at least 3 years in the past 5 years; ET time zone work schedule.

Daily Responsibilities

• Contribute across the software development lifecycle, including requirements analysis, technical design, implementation, testing, deployment, and production support.
• Monitor and troubleshoot application, pipeline, and integration issues in development and production environments, and document root cause and resolution steps.
• Implement application and data pipeline features that integrate with relational databases and AWS services such as S3 and related cloud resources.
• Build, test, maintain, and enhance full stack applications and data solutions across the front end, back end, and database layers.
• 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.
• Partner with cloud engineering, DevSecOps, and application teams to implement IaC and CI/CD pipelines for Snowflake objects and deployments.
• Work with cross-functional teams in an Agile environment to deliver application and data solutions that support business and user needs.