Data Engineer
RemoteArgentina or Brazil
Job Summary
Build and maintain scalable ETL/ELT pipelines using Python, SQL, or Scala, orchestrating workflows with Airflow, Prefect, or Dagster while integrating data from APIs, databases, and streaming sources. Manage cloud data warehouses like Snowflake, BigQuery, or Redshift by designing models, optimizing performance through partitioning and clustering, and delivering analytics-ready datasets. Implement validation, monitoring, and anomaly detection to ensure reliable, audit-ready processes, proactively troubleshooting failures and documenting lineage. Deploy services via Docker and Kubernetes, support CI/CD pipelines, and collaborate with analytics teams to translate business requirements into trusted data solutions. Maintain 99%+ pipeline uptime and deliver datasets within SLA targets.
Required Qualifications
- 3+ years of experience in Data Engineering, Data Infrastructure, or Back-End Engineering
- Strong Python and SQL skills
- Experience with Snowflake, BigQuery, Redshift, or similar cloud data warehouses
- Hands-on experience with Airflow, Prefect, or similar orchestration tools
- Strong understanding of ETL/ELT pipelines and data modeling
- Experience with AWS, Azure, or Google Cloud
Desired Qualifications
- Experience with dbt
- Kafka, Kinesis, Pub/Sub, or other streaming platforms
- AWS Glue, GCP Dataflow, or Azure Data Factory
- Docker, Kubernetes, Terraform, or CI/CD pipelines
- Experience in healthcare, fintech, SaaS, or other regulated industries
- Experience optimizing warehouse performance and cloud costs
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.