Databricks Data Engineer: Lakehouse AI Pipelines Architect

AgileEngine, LLC.; Sur; Híbrido; COP 280.260.000 - 435.961.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Data Engineer to build batch and streaming pipelines on Databricks using PySpark and Delta Lake. This role migrates legacy data workloads to a governed Lakehouse, modeling a medallion architecture that powers analytics and AI use cases.

The role emphasizes SQL and Python, data governance with Unity Catalog, and collaboration with DevOps and analytics engineers. Flexible work options are available.

Formación

• 4+ years of professional data engineering experience with Spark and cloud data architectures.
• Strong hands-on experience with Databricks, Spark (PySpark), and Delta Lake.
• Advanced SQL and Python with data modeling skills for Lakehouse patterns.
• Experience with streaming ingestion (Structured Streaming, Auto Loader, Kafka, Event Hubs).
• Orchestrating data workflows (Databricks Workflows, Airflow, Azure Data Factory).
• Experience migrating legacy ETL and data warehouses to Lakehouse, data hygiene.
• Strong communication, mentoring, and collaboration skills; familiar with Unity Catalog and PII handling.
• Experience with dbt or equivalent transformation framework; secure coding practices.

Responsabilidades

• Design, build, and operate batch and streaming data pipelines on Databricks.
• Model and maintain a medallion architecture for analytics, reporting, and ML.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with parity.
• Use Claude or GitHub Copilot to accelerate development, tests, docs, and prototyping.
• Write clean Python and SQL; maintain quality via code reviews.
• Optimize Spark jobs and Delta tables for performance and cost.
• Implement data quality, lineage, governance using Unity Catalog.
• Debug, troubleshoot, and resolve production data issues.
• Participate in Agile delivery practices; collaborate with DevOps and analytics engineers.
• Collaborate with security/compliance teams on observability and governance.

Conocimientos

Data engineering

Apache Spark

PySpark

Delta Lake

SQL

Python

Structured Streaming

Kafka

Event Hubs

Data modeling

Lakehouse

Mentoring juniors

Data governance

PII handling

dbt

Security best practices

Problem solving

Collaboration

Herramientas

Databricks

Databricks Workflows

Airflow

Azure Data Factory

Terraform

PostgreSQL

Descripción del empleo

AgileEngine is seeking a Data Engineer to build batch and streaming pipelines on Databricks using PySpark and Delta Lake. This role migrates legacy data workloads to a governed Lakehouse, modeling a medallion architecture that powers analytics and AI use cases.

The role emphasizes SQL and Python, data governance with Unity Catalog, and collaboration with DevOps and analytics engineers. Flexible work options are available.