Mid-Level Full Stack Engineer

Mid-Level Full Stack Engineer, Remote NO THIRD PARTY RECRUITERS!!!!! Contract; Potential Contract to Hire 100% Remote Due to our government client requirements, we can only consider US Citizen or a Green Card holders who have lived in the US for 3 of the last 5 years. Must be able to obtain a US Federal government client badge and pass a government background investigation. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We are seeking a Mid-Level Full Stack Engineer to help build, enhance, and support cloud-based applications and data solutions across the front end, back end, and database layers. Working closely with engineers, product stakeholders, and cross-functional partners, this person will turn business requirements into reliable, well-tested solutions; build and integrate RESTful APIs; and develop data pipelines and application workflows that support analytics and operational use cases. The engineer will contribute across the software development lifecycle, including technical design, coding, testing, deployment, and production support, with a strong emphasis on Snowflake, ETL development, Apache Airflow orchestration, and AWS-based services. This role includes building and maintaining data integrations, supporting cloud deployments, improving data workflows, and helping ensure applications and pipelines are reliable, maintainable, and aligned with business needs. Responsibilities 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…