Senior AWS Data Engineer - Remote, Lakehouse Automation

BairesDev; United States; Remote; CLP 48,828,000 - 87,891,000; Full time

Benefits offered by this job

100% remote work

USD or local currency pay

Hardware setup

Flexible hours

Paid parental leaves

Multicultural environment

Job summary

At BairesDev, we are seeking a Senior AWS Data Engineer to re‑engineer an ingestion and lakehouse platform, redesigning retention, compaction and automated recovery, bringing code‑archaeology instincts to a live production challenge.

You will read and re‑engineer existing ingestion and lakehouse code across Lambda, Glue, EventBridge, and Step Functions, manage Iceberg tables in the Gold zone, and implement publish gates to avoid bad writes.

Qualifications

• 5+ years of experience in data engineering with AWS.
• Strong experience with Apache Iceberg table management.
• Experience with AWS Glue ETL.
• Proficiency in Python.
• Experience with Kafka.
• Advanced proficiency in English.

Responsibilities

• Read and re-engineer existing ingestion and lakehouse code across Lambda, Glue, EventBridge, and Step Functions.
• Manage Apache Iceberg tables in the Gold zone, including retention and compaction strategy.
• Redesign recovery processes to automate restores that were previously manual.
• Introduce write-audit-publish patterns to prevent bad writes from landing silently.
• Work with Kafka on MSK for event processing across the pipeline.

Skills

Python

AWS

Kafka

Iceberg

Data engineering

English

Tools

AWS Glue

MSK

EventBridge

Lambda

Job description

At BairesDev, we are seeking a Senior AWS Data Engineer to re‑engineer an ingestion and lakehouse platform, redesigning retention, compaction and automated recovery, bringing code‑archaeology instincts to a live production challenge.

You will read and re‑engineer existing ingestion and lakehouse code across Lambda, Glue, EventBridge, and Step Functions, manage Iceberg tables in the Gold zone, and implement publish gates to avoid bad writes.