Remote Data Engineer - Databricks Lakehouse & AI Pipelines

AgileEngine, LLC.; Bogotá; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth budget

Competitive compensation

Remote work

Modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

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

You will leverage AI tools like Claude and GitHub Copilot to accelerate development, write tests and documentation, and ensure data quality and governance. Remote work with flexible hours is offered.

Formación

• 3+ years of professional experience in data engineering with direct expertise in Apache Spark and cloud-based data architectures.
• Strong hands-on experience building data pipelines with Databricks, Apache Spark (PySpark), and Delta Lake.
• Advanced SQL and Python, with strong data modeling skills across dimensional and Lakehouse patterns.
• 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 considerations.
• Familiarity with Unity Catalog, data governance, access control, and PII handling.
• Experience with dbt or equivalent transformation framework.
• Familiarity with secure coding standards and industry security practices.

Responsabilidades

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
• Model and maintain a medallion (bronze/silver/gold) architecture serving analytics and ML consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal disruption.
• Leverage Claude or Github Copilot to accelerate development, generate scaffolding, and draft tests and docs.
• Write clean, well-tested Python and SQL; uphold quality via code reviews and documentation.
• Optimize Spark jobs and Delta tables for performance and cost, including partitioning and clustering.
• Implement data quality, lineage, and governance using Unity Catalog and automated validation checks.
• Debug and resolve pipeline failures, data defects, and production incidents.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance.

Herramientas

Databricks

Apache Spark

PySpark

Delta Lake

SQL

Python

Databricks Workflows

Airflow

Terraform

PostgreSQL

Descripción del empleo

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

You will leverage AI tools like Claude and GitHub Copilot to accelerate development, write tests and documentation, and ensure data quality and governance. Remote work with flexible hours is offered.