Senior Data Engineer

Senior Data Engineer Remote · LATAM · Full-Time Contract LATAM (Remote) Full-Time Contract ASAP English Required ABOUT THE ROLE We are looking for a Senior Data Engineer with deep expertise in AWS, batch processing, and real-time streaming architectures.

This is a hands-on role — you will design and own scalable data pipelines serving both high-throughput batch workloads (GBs to TBs) and low-latency streaming systems. You will collaborate with analysts, data scientists, and business teams, and help mentor junior engineers to raise the bar across the data platform.

Batch Processing Design & implement batch pipelines for large-scale processing (GBs to TBs) Build ETL/ELT workflows using PySpark, SQL, Glue, and EMR Optimize jobs for performance, partitioning, and cost Manage data ingestion from DBs, files, and APIs into the data lake Ensure data quality, consistency, and reliability Real-Time / Streaming Design & implement real-time pipelines using Apache Flink (Scala preferred) Process high-throughput streams with low-latency requirements Implement stateful processing, windowing, and event-time handling Handle late/out-of-order events; exactly-once / at-least-once semantics Configure checkpointing, fault tolerance, and recovery Integrate with Kafka or Kinesis CORE RESPONSIBILITIES Build and maintain data lake / lakehouse architectures on AWS (S3-based) Integrate multiple data sources — APIs, SaaS platforms, databases Ensure data governance, security, and access control (IAM) Implement monitoring, logging, and alerting for all pipelines Collaborate with analysts, data scientists, and business teams Mentor junior engineers and enforce best practices TECH STACK Python SQL Scala PySpark Apache Flink Apache Kafka AWS Glue Amazon EMR Amazon S3 AWS Lambda Amazon Athena Amazon Kinesis Delta Lake / Iceberg REQUIRED QUALIFICATIONS 5+ years of experience in Data Engineering Strong skills in Python, SQL, and Scala Hands-on AWS experience: S3, Glue, Athena, Lambda, EMR, Kinesis, IA