AI/ML Data Engineer — Build Scalable Pipelines

Transformcap; Tijuana; Presencial; MXN 2.235.417 - 2.535.801; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Work-from-home basics discount through

Gympass

Telus Employee Assistance Program

Descripción de la vacante

Tebra seeks a Data Engineer focused on AI/ML to build and optimize data infrastructure powering intelligent features. You will partner with ML engineers, data scientists, and software engineers to transform healthcare data into high-quality datasets and real-time features used by models.

This hands-on role drives scalable pipelines, data quality, and governance to ensure reliable data for training and production inference, with a strong emphasis on collaboration and agile delivery.

Formación

• 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
• 2+ years building production data pipelines for analytics or ML workloads.
• Strong Python and SQL with production data pipelines experience.
• Experience with Spark, Airflow, Kafka, or similar distributed platforms.
• Experience with cloud-based data platforms like Databricks, Snowflake, Delta Lake.
• Understanding of data modeling, warehousing, and governance.

Responsabilidades

• Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
• Develop and enhance data systems supporting analytics and ML workloads including lakehouse and feature store tech.
• Monitor production pipelines, detect data quality issues, and implement reliability improvements.
• Participate in engineering discussions and contribute to data architecture decisions.
• Build reusable data engineering components with QC, schema validation, and testing frameworks.
• Translate business requirements into scalable data solutions for analytics and ML use cases.
• Optimize SQL queries, Spark workloads, and pipelines for performance and scalability.
• Collaborate with ML Engineers to support MLOps practices like data versioning and lineage.
• Break down work into tasks and deliver high-quality solutions in an agile team.

Conocimientos

Python

SQL

Spark

Airflow

Kafka

Databricks

Snowflake

Delta Lake

Data governance

CI/CD

Herramientas

Databricks

Snowflake

Delta Lake

Descripción del empleo

Tebra seeks a Data Engineer focused on AI/ML to build and optimize data infrastructure powering intelligent features. You will partner with ML engineers, data scientists, and software engineers to transform healthcare data into high-quality datasets and real-time features used by models.

This hands-on role drives scalable pipelines, data quality, and governance to ensure reliable data for training and production inference, with a strong emphasis on collaboration and agile delivery.