Senior Data Engineer - Remote Databricks Lakehouse

INGEPSY; Medellín; Presencial; COP 120.000.000 - 160.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

100% remote with flexible hours

Modern tech stack and global teams

Mentorship and learning budget

Local well-being programs

Descripción de la vacante

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

You will use AI tools like Claude and GitHub Copilot to accelerate development, write tests, and review code, while ensuring data quality and governance across analytics and ML consumers.

Formación

• 4+ years of professional data engineering experience with Spark and cloud data architectures.
• Hands-on experience building pipelines with Databricks, Apache Spark (PySpark), and Delta Lake.
• Advanced SQL and Python with strong data modeling across 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 when porting old systems.
• Strong problem solving, collaboration, and communication skills, including mentoring junior engineers.
• Familiarity with Unity Catalog, data governance, access control, and PII handling.
• Experience with dbt or an equivalent transformation framework.
• Familiarity with secure coding standards and industry 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 (bronze/silver/gold) architecture serving analytics, reporting, and ML consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
• Use Claude or Github Copilot to accelerate development, generate code scaffolding, write tests, and document solutions.
• Write clean, well-tested Python and SQL; ensure code quality through reviews and documentation.
• Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and sizing.
• Implement data quality, lineage, and governance controls using Unity Catalog and automated checks.
• Debug, troubleshoot, and resolve pipeline failures, data defects, and production incidents.
• Participate in Agile or product-centric delivery practices including sprint planning and retrospectives.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance.

Conocimientos

Data engineering

Problem solving

Collaboration

Mentoring

English proficiency

Herramientas

Databricks

Apache Spark (PySpark)

Delta Lake

SQL

Python

Structured Streaming

Kafka / Event Hubs

Airflow

Databricks Workflows

dbt

Descripción del empleo

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

You will use AI tools like Claude and GitHub Copilot to accelerate development, write tests, and review code, while ensuring data quality and governance across analytics and ML consumers.