Ingeniero de Datos

Role Data Engineer Location Remote Requires occasional travel Responsibilities Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster. Develop efficient ETL ELT workflows in Python and SQL to support both batch and streaming workloads. Collaborate with ML and AI teams to deliver highquality datasets for training, evaluation, and production features. Model and maintain structured data assets Delta, Parquet, Iceberg for reliability, versioning, and lineage tracking. Implement orchestration and monitoring schedule jobs, track dependencies, and automate recovery from failures. Ensure data quality and compliance through validation frameworks, schema enforcement, and audit logging. Contribute to data platform evolution evaluate tools, standardize best practices, and improve developer experience. Support performance and cost optimization across compute, storage, and orchestration systems. Qualifications 36 years of experience as a Data Engineer or ETL Developer in a production environment. Proficiency in Python and SQL strong familiarity with Databricks, Spark, or equivalent bigdata frameworks. Experience with workflow orchestration tools such as Airflow, Dagster, Luigi or Prefect. Deep understanding of data modeling, data warehousing, and distributed data processing. Knowledge of modern data lakehouse architectures Delta, Parquet, Iceberg. Familiarity with CI CD, GitHub Actions, and data pipeline testing frameworks. Comfort working in a crossfunctional environment with ML, product, and analytics teams. Nice to Have Experience with sports, telemetry, or sensor data pipelines. Familiarity with streaming frameworks Kafka, Spark Structured Streaming, Flink. General knowledge of American football, the NFL, and college football Background in data governance, lineage, and observability tools Monte Carlo, Great Expectations, Unity Catalog, OpenLineage. Experience with cloud infrastructure AWS, GCP, or Azure and containerization Docker, Kubernetes. Exposure to best practices in machinelearning model management and MLOps Bolsa de trabajo México ofrecemos puesto de Ingeniero de Datos para el sector de Ingenieria en la empresa PROGRAMMING.COM de Azcapotzalco. Salario acorde a tu experiencia y al salario medio del sector. Actualiza ahora tu currículum vitae y postúlate a este empleo. Tipo de empleo Tiempo Completo.