Backend Data Engineer (Python, Spark, Airflow)

I’m helping Seres Íntegros find a top candidate to join their team full-time for the role of Backend Data Engineer (Python, Spark, Airflow).You'll build core data infrastructure, shaping a BI intelligence platform.Compensation:USD 60K/yearLocation:Remote: MéxicoMission of Seres Íntegros:"Encontrar, desarrollar y potenciar el talento que hará crecer tu empresa, alineando propósito, cultura y desempeño."What makes you a strong candidate:You are proficient in Spark, React.js, REST API, Python, PostgreSQL, Microservices, Kubernetes.You have the potential to develop in BI data pipelines.Spanish - ConversationalEnglish - Fully fluentResponsibilities and more:We are assisting a fast-growing, venture-backed startup in the search for a talented Backend Data Engineer. Our client is a remote-first company dedicated to reimagining how organizations manage and govern their Business Intelligence ecosystems.They are building a sophisticated platform to bring order and observability to complex data environments. We are looking for an engineer to help build the core of this platform.The Role.Our client is seeking a Backend Data Engineer to take ownership of the architecture and scaling of their core data infrastructure. You will be responsible for the data ingestion, transformation, and lineage systems that power their main products.This is a hands-on engineering role in a collaborative environment. You will work closely with the product, frontend, and DevOps teams to build reliable, scalable, and high-performance services.What You'll Do.* Design and build backend systems and APIs using Python and FastAPI that power data discovery and lineage.* Develop scalable data pipelines to integrate with a wide range of external BI platforms (e.g., Tableau, Power BI, Qlik).* Implement and maintain robust data jobs using Airflow (MWAA), focusing on reliability and fault tolerance.* Transform and standardize complex metadata using Apache Spark and dbt.* Collaborate with frontend engineers to support their React-based UI through performant, well-structured APIs.* Contribute to CI/CD pipelines, containerization (Docker), and service monitoring.What We're Looking For.* 4-7 years of backend or data engineering experience, preferably in a production SaaS environment.* Deep experience with Python and backend frameworks like FastAPI.* Strong understanding of database design and experience with PostgreSQL.* Proven experience with RESTful APIs, microservice architecture, and distributed systems.* Familiarity with Airflow (or MWAA) for orchestration and Spark for distributed processing.* Comfortable working in containerized environments (Docker, Kubernetes).* Excellent communication skills for a remote-first, collaborative team.* Bonus: Exposure to BI/analytics ecosystems, data lineage, or metadata management.What Our Client Offers.* A highly competitive salary and meaningful company equity.* Comprehensive benefits (medical, dental, and vision).* Unlimited PTO.* A flexible, remote-first work environment.* A collaborative culture with significant opportunities for career growth and technical ownership.If you are passionate about building scalable systems that make data smarter and more reliable, we would love to connect and discuss this opportunity.