Databricks Data Engineer — Remote Lakehouse & AI-Powered Pipelines

AgileEngine; Rosarito; Presencial; MXN 2.036.000 - 2.714.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

100% remote with flexible hours

Modern projects with global teams

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Middle Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark and Delta Lake, using a medallion architecture for analytics and ML workloads.

You will also leverage AI tools like Claude and GitHub Copilot to accelerate development, write tests, and create documentation while collaborating with cross-functional teams.

Formación

• 3+ years of professional data engineering experience with Spark and cloud data architectures.
• Strong SQL and Python with data modeling skills for Lakehouse patterns.
• Experience with Structured Streaming and various data ingestion tools.
• Familiarity with Unity Catalog, data governance, and PII handling.
• Experience delivering production data platforms at scale.

Responsabilidades

• Design and build batch and streaming data pipelines on Databricks with PySpark and Delta Lake.
• Develop a medallion architecture (bronze/silver/gold) for analytics and ML workloads.
• Migrate legacy ETL workloads to a Databricks Lakehouse with minimal disruption.
• Use Claude or Copilot to accelerate development, tests, docs, and prototyping.
• Write clean Python and SQL, and enforce code reviews and tests.
• Optimize Spark jobs and Delta tables for performance and cost.
• Implement data quality, lineage, and governance using Unity Catalog.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance.

Conocimientos

Databricks

Apache Spark (PySpark)

Delta Lake

SQL

Python

Structured Streaming

Data modeling

Unity Catalog

dbt

Security best practices

Production data platforms

Educación

Bachelor's degree in CS or related field

Herramientas

Databricks Workflows

Airflow

Azure Data Factory

Terraform

Descripción del empleo

AgileEngine is seeking a Middle Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark and Delta Lake, using a medallion architecture for analytics and ML workloads.

You will also leverage AI tools like Claude and GitHub Copilot to accelerate development, write tests, and create documentation while collaborating with cross-functional teams.