Teams at TransferGo

Develop and improve monolith and microservice systems, internal developer tooling, workflows, and engineering productivity. Improve code quality, performance, and maintainability; resolve cross-team technical blockers; and support AI adoption across engineering. The role requires production experience with PHP or .NET, databases, Dockerized environments, and CI/CD, with opportunities to learn .NET and additional cloud technologies.

Build and operate production data pipelines, dbt models, Airflow DAGs, and AWS infrastructure as code. Own ingestion, transformation, orchestration, monitoring, data quality, observability, and CI/CD. Support AI-ready data initiatives and Redshift access, collaborate with stakeholders, and provide end-to-end ownership from requirements through troubleshooting. The role requires strong Python, SQL, AWS, analytical data modeling, infrastructure-as-code, and autonomous problem-solving skills.

Build and operate production data pipelines covering ingestion, transformation, orchestration, monitoring, and data quality. Develop dbt models, author and debug Airflow DAGs, provision AWS infrastructure with infrastructure-as-code, and maintain CI/CD using GitHub Actions. Support AI-ready data initiatives and Redshift access, while owning requirements through deployment and incident resolution. The role requires strong Python, SQL, AWS, analytical data modeling, autonomy, and stakeholder collaboration.