Senior Databricks Data Engineer — Remote & Growth

AgileEngine; Monterrey; Presencial; MXN 900.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

100% remote with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers.

This role also uses AI tools like Claude and GitHub Copilot to speed up development. Responsibilities include designing and operating pipelines, migrating workloads, and implementing governance with Unity Catalog, while

Formación

• 4+ years of professional experience in data engineering.
• Strong hands-on with Databricks, Apache Spark (PySpark), and Delta Lake.
• Advanced SQL and Python with data modeling skills.
• Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs.
• Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory).
• Experience with legacy platform migrations, ETL modernization, or data hygiene tasks.
• Strong problem-solving, collaboration, and communication, mentoring juniors.
• Familiarity with Unity Catalog, data governance, and PII handling.
• Experience with dbt or equivalent transformation framework.
• Familiarity with secure coding standards and security best practices.
• Experience delivering production data platforms at scale.
• Upper-intermediate English level.

Responsabilidades

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
• Model and maintain a medallion architecture serving analytics and ML consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with minimal disruption.
• Use Claude or Copilot to accelerate development, including tests and docs.
• Write clean, well-tested Python and SQL with code reviews.
• Optimize Spark jobs and Delta tables for performance and cost.
• Implement data quality, lineage, and governance with Unity Catalog and validation checks.
• Debug, troubleshoot, and resolve pipeline failures and data defects.
• Participate in Agile or product-centric delivery practices.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance.

Conocimientos

4+ years in data engineering

Databricks

PySpark

Delta Lake

SQL

Python

Structured Streaming

Databricks Workflows

Airflow

Azure Data Factory

dbt

Unity Catalog

Herramientas

Databricks

Delta Lake

Airflow

Azure Data Factory

Kafka

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers.

This role also uses AI tools like Claude and GitHub Copilot to speed up development. Responsibilities include designing and operating pipelines, migrating workloads, and implementing governance with Unity Catalog, while