Data Engineer

Team: Engineering - Application Platform

Location: Colombia - Remote

Commitment: Full-Time

Workplace Type: remote

What you'll do:

• Build and maintain reliable data pipelines and ETL/ELT workflows

• Develop and optimize data models for analytics and internal tools

• Work with team members to deliver clean, trusted datasets

• Support core data platform tools like Spark and AWS (S3, SNS, SQS, ECS/Fargate, EMR)

• Monitor data pipelines for quality, performance, and reliability

• Write clear documentation and contribute to test coverage and CI/CD processes

• Help shape our data lakehouse architecture and platform roadmap

What you'll bring:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

• 2–4 years of experience in data engineering or a backend data-related role

• Strong skills in Java, Scala, or another backend programming language

• Python (PySpark/pandas) skills

• Experience with SQL and distributed data systems (e.g., Spark, Kafka, SQS)

• Familiarity with NoSQL stores like Cassandra, HBase, or similar

• Understanding of data modeling for analytics and reporting

• Proficient in English with strong communication skills — able to explain or demo work to non-engineers

• Self-driven — picks up new technologies and frameworks with little guidance

• Debugs methodically; breaks complex problems into smaller steps

• Open to feedback — iterates and improves through code reviews

• Uses AI-assisted engineering tools (Claude Code, Codex, Cursor, etc.) as part of daily workflow

• Reliable internet connection to sustain video, audio, and screen sharing

It'd be great if you had:

• Experience with dbt, Databricks, or real-time data pipelines

• Familiarity with cloud infrastructure tools like Terraform or CloudFormation

• Interest in data governance, ML pipelines, or compliance standards

• Personal projects or open source contributions demonstrating initiative

Why you'll love working here:

• Work on data that supports meaningful software security outcomes

• Modern tools in a cloud-first, open-source-friendly environment

• A team that values clarity, learning, and autonomy