Senior Data Engineer — Flexible Lakehouse & Streaming Architect

Athenaworks; Argentina; Presencial; ARS 181.094.000 - 271.641.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Payment in USD

Flexible work schedule

Non-Working Pay Days Policy

Learning Budget

Descripción de la vacante

Athenaworks is seeking a Senior Data Engineer to mature our lakehouse architecture and take on meaningful ownership of critical systems. You’ll drive end-to-end pipelines, from high-throughput streaming ingestion to curated Redshift models used for reporting.

You’ll work across S3 + Iceberg on the raw data layer, contribute Kotlin-based apps, and mentor teammates in a compact, senior-led team. We value collaboration, growth, and ownership in a flexible, inclusive environment.

Formación

• 5+ years of data engineering experience.
• Strong JVM knowledge in production environments.
• Kotlin experience preferred for streaming apps.
• Hands-on experience with streaming ingestion technologies (Kinesis, Kafka, Firehose).
• Experience with modern table formats on object storage — Iceberg, Delta Lake, or Hudi.
• Solid SQL skills and experience building data warehouse models (Redshift, Snowflake, BigQuery).
• Proficiency in Python for data tooling, automation, and scripting.
• Hands-on experience building and operating pipelines with Apache Airflow.
• Comfort operating in AWS (S3, IAM).
• Track record of owning systems in production and cost-aware design.

Responsabilidades

• Design, build, and operate streaming pipelines (Kinesis, Firehose) for high-volume ad network traffic.
• Own and evolve our S3 + Iceberg raw data layer with partitioning and schema evolution.
• Build and maintain curated aggregates and fact tables in Redshift for reporting/analytics.
• Contribute to Kotlin-based event registration and streaming applications.
• Improve reliability, observability, and data quality across the pipeline.
• Make architectural recommendations as the lakehouse scales.
• Partner with analysts to align on reporting needs.
• Mentor engineers and elevate data engineering practices.

Conocimientos

Data engineering

JVM experience

Kotlin

Streaming pipelines

AWS

Python

Airflow

SQL for analytics

Communication skills

Independent work

Herramientas

Iceberg

Redshift

Kinesis

Kafka

Airflow

S3

Descripción del empleo

Athenaworks is seeking a Senior Data Engineer to mature our lakehouse architecture and take on meaningful ownership of critical systems. You’ll drive end-to-end pipelines, from high-throughput streaming ingestion to curated Redshift models used for reporting.

You’ll work across S3 + Iceberg on the raw data layer, contribute Kotlin-based apps, and mentor teammates in a compact, senior-led team. We value collaboration, growth, and ownership in a flexible, inclusive environment.