Data Engineer
- Closed
- US Company | Medium ( employees)
- LATAM (100% remote)
- 5+ years
- Short-term · 6 months · 40h/week
- Hospitality
- Full Remote
Required skills
- AWS Glue
- Terraform
- Python
- CI/CD
- AWS
- ETL
- AWS S3
- Iceberg
Requirements
Must-haves
- 5+ years of data engineering experience
- Experience building end-to-end production data pipelines across landing, transformation, and analytics layers (e.g. S3, AWS Glue, Iceberg)
- Experience with AWS-native ETL development (e.g. AWS Glue, S3, Iceberg)
- Experience provisioning and managing pipeline infrastructure with Terraform (e.g. Glue job configuration, Iceberg warehouse paths, per-environment asset buckets)
- Experience packaging and distributing shared Python logic as .whl files via --extra-py-files in Glue
- Experience with CI/CD pipelines for data infrastructure and code artifacts (e.g. GitHub Actions)
- Proficiency with system instrumentation (e.g. alerting, monitoring, data lineage, validation frameworks)
- Strong communication skills in both spoken and written English
Nice-to-haves
- Startup experience
- Bachelor's Degree in Computer Engineering, Computer Science, or equivalent
What you will work on
- This is a full-time role (40 hours/week) for a 6-month contract
- Build and maintain an hourly gold-layer pipeline that reads a per-client Iceberg metric registry (materialized from YAML via CI) and computes base sums, compounds, and ratios, storing additive numerator/denominator pairs alongside an audit-only daily ratio
- Maintain and evolve a long-format fact table (reporting_metric_fact) with OK/ERR status marking, completeness reporting, cascade reprocessing on variant changes, and atomic commits for consistent downstream reads