Data Engineer About the role We're looking for a Data Engineer to build and maintain the pipelines that power analytics and data products across Chubb. You'll design ETL/ELT workflows on Databricks, turn raw source data into reliable, well-modeled datasets, and keep those pipelines fast and cost-efficient as data volumes grow.
This role suits someone who is comfortable owning a pipeline end to end — from ingestion through transformation to the tables analysts and data scientists actually query.
What you'll do Design, build, and maintain batch and streaming ETL/ELT pipelines using Python, SQL, and Py Spark on Databricks. Model data across raw, cleansed, and curated layers (medallion architecture) with Delta Lake. Ingest data from a range of sources — relational databases, APIs, files, and event streams — including incremental and change data capture patterns. Tune Spark jobs and SQL queries for performance and cost: partitioning, file sizing and compaction, caching, join strategies, and shuffle reduction. Build data quality checks, validation rules,



and monitoring so problems are caught before downstream consumers see them. Orchestrate and schedule workflows (Databricks Workflows, Airflow, or similar), with proper retry, alerting, and dependency handling. Apply software engineering practices to data work: version control, code review, testing, and CI/CD for pipeline deployments. Partner with analysts, data scientists, and business stakeholders to translate requirements into usable data models. Document pipelines, data lineage, and design decisions. Required qualifications (3)+ years of experience in a data engineering or comparable role. Strong Python for data processing, automation, and pipeline development. Advanced SQL: complex joins, window functions, aggregations, and query optimization. Hands-on experience with Databricks and Py Spark in a production environment. Demonstrated experience designing and operating ETL/ELT pipelines at scale. Practical knowledge of

📌 Data engineer (México)
🏢 Chubb Life Fund
📍 México