Senior Data Engineer - Real-Time Lakehouse on AWS

Athenaworks

Región Metropolitana de Santiago

Hybrid

CLP 86,042,000 - 114,723,000

Full time

14 days+

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Benefits offered by this job

Payment in USD
Flexible work schedule
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Job summary

Athenaworks is seeking a Senior Data Engineer to mature our lakehouse architecture and own critical data systems. You’ll manage high-throughput streaming ingestion, Iceberg table design on S3, and Redshift models powering reporting.

This hands-on role requires architectural judgment and mentorship in a small, senior team. You’ll work across the pipeline with Kinesis/Firehose, Iceberg, and Redshift, while collaborating with analysts to meet reporting needs.

Qualifications

  • 5+ years of data engineering experience with high-volume data systems.
  • Strong JVM experience (Java/Kotlin) in production services.
  • Kotlin experience strongly preferred for streaming apps.
  • Proficiency in Python for tooling and scripting.
  • Solid SQL and data warehouse modeling skills.

Responsibilities

  • Design, build, and operate streaming data pipelines (Kinesis, Firehose).
  • Own and evolve S3 + Iceberg raw data layer with cost/performance tuning.
  • Build and maintain Redshift-based curated tables for analytics.
  • Contribute to Kotlin-based event registration apps and streaming)
  • Improve reliability, observability, and data quality across the pipeline.
  • Shape lakehouse architecture decisions and scaling strategies.
  • Collaborate with analysts to align reporting needs.
  • Mentor engineers on data engineering practices in a small team.

Skills

Data engineering experience
JVM experience
Kotlin
Python
Communication

Tools

Kinesis
Firehose
Iceberg
Redshift
Kafka
Airflow

Job description

Athenaworks is seeking a Senior Data Engineer to mature our lakehouse architecture and own critical data systems. You’ll manage high-throughput streaming ingestion, Iceberg table design on S3, and Redshift models powering reporting.

This hands-on role requires architectural judgment and mentorship in a small, senior team. You’ll work across the pipeline with Kinesis/Firehose, Iceberg, and Redshift, while collaborating with analysts to meet reporting needs.

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