Senior Data Engineer - Remote, Databricks Lakehouse

INGEPSY; Cartagena de Indias; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexible hours

Meaningful, modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17+ industries.

We are seeking a Senior Data Engineer to transform a 15-year-old data warehouse into a governed Databricks Lakehouse, building batch and streaming pipelines with PySpark and Delta Lake. You will implement a medallion architecture and leverage AI tools like Claude and GitHub Copilot to accelerate development, while writing clean Python/SQL and ensuring governance and

Formación

• 4+ years of professional experience in data engineering.
• 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 managing data hygiene when porting old systems.
• Strong problem-solving, collaboration, and communication skills, including mentoring junior engineers and explaining data concepts to non-technical stakeholders.
• 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 machine learning consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
• Use Claude or Github Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation and prototyping solutions.
• Write clean, well-tested Python and SQL; maintain high standards through code review and documentation.
• Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and cluster sizing.
• Implement data quality, lineage, and governance controls using Unity Catalog and automated validation 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 best practices.

Conocimientos

Databricks

Apache Spark

PySpark

SQL

Python

Structured Streaming

Kafka

Airflow

Databricks Workflows

Azure Data Factory

Unity Catalog

dbt

Mentoring juniors

Herramientas

Databricks

Airflow

Azure Data Factory

dbt

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17+ industries.

We are seeking a Senior Data Engineer to transform a 15-year-old data warehouse into a governed Databricks Lakehouse, building batch and streaming pipelines with PySpark and Delta Lake. You will implement a medallion architecture and leverage AI tools like Claude and GitHub Copilot to accelerate development, while writing clean Python/SQL and ensuring governance and