Data Engineer LATAM (Python/PySpark/AWS Glue/Amazon Athena/SQL/Apache Airflow)

Job description Let’s be direct: We’re looking for a technical powerhouse. If you’re the developer who: * Is the clear technical leader on your team * Consistently solves problems others can’t crack * Ships complex features in half the time it takes others * Writes code so clean it could be published as a tutorial * Takes pride in elevating the entire codebase Then we want to talk to you. This isn’t a role for everyone, and that’s by design. We’re seeking developers who know they’re exceptional and have the track record to prove it. What you’ll do * Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake. * Design, operationalize, and monitor ingest and transformation workflows: DAGs, alerting, retries, SLAs, lineage, and cost controls. * Collaborate with platform and AI/ML teams to automate ingestion, validation, and real\-time compute workflows; work toward a feature store. * Integrate pipeline health and metrics into engineering dashboards for full visibility and observability. * Model data and implement efficient, scalable transformations in Snowflake and PostgreSQL. * Build reusable frameworks and connectors to standardize internal data publishing and consumption. Required qualifications * 4\+ years of production data engineering experience. * Deep, hands\-on experience with Apache Airflow, AWS Glue, PySpark, and Python\-based data pipelines. * Strong SQL skills and experience operating PostgreSQL in live environments. * Solid understanding of cloud\-native data workflows (AWS preferred) and pipeline observability (metrics, logging, tracing, alerting). * Proven experience owning pipelines end\-to\-end: design, implementation, testing, deployment, monitoring, and iteration. Preferred qualifications * Experience with Snowflake performance tuning (warehouses, partitions, clustering, query profiling) and cost optimization. * Real\-time or near\-real\-time processing experience (e.g., streaming ingestion, incremental models, CDC). * Hands\-on experience with a backend TypeScript framework (e.g., NestJS) is a strong plus. * Experience with data quality frameworks, contract testing, or schema management (e.g., Great Expectations, dbt tests, OpenAPI/Protobuf/Avro). * Background in building internal developer platforms or data platform components (connectors, SDKs, CI/CD for data). Additional Information: * This is a fully remote position. * Compensation will be in USD. * Work hours are aligned with the EST time zone (9 AM to 6 PM EST) or PT time zone.