Remote Data Engineer (6-month Contract)

Duration: Full-time for 6 monthsThe RoleWe are looking for a pragmatic and self-driven contract Data Engineer to help accelerate our data roadmap. Your main focus will be to expand our data ecosystem by integrating new data sources and developing robust data models, directly supporting our self-service analytics goals.You will take ownership of our Airflow DAGs and dbt models, balancing the development of new pipelines with the maintenance of critical existing infrastructure.This is a hands-on role for someone who thrives on delivering business impact. While you’ll collaborate with senior engineers on high-level architecture for new data sources, you’ll have full ownership of implementation, operations, and the success of your projects.ResponsibilitiesExpand Data Coverage: Proactively own the end-to-end process of ingesting new data sources and building scalable pipelines using Airflow and dbt.Partner with Analysts: Collaborate closely with our data analysts to understand business requirements, define metrics, and develop the specific, reliable data models they need for their dashboards and analyses in Superset.Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, in line with our early-stage startup environment.Operational Excellence: Own the day-to-day health of the data platform. This includes monitoring pipelines, debugging failures, and helping to establish and maintain data quality SLAs.Cross-functional Collaboration: Work with other product and engineering teams to understand source systems and ensure seamless data extraction.Refactor and Improve: Identify opportunities to improve and refactor existing ingestion and transformation logic for better performance and maintainability.