Senior Data Engineer, ML Platform & Real-Time Analytics

Adikteev; United States; A distancia; USD 90.000 - 101.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

4.5-day work week

Healthcare plan

Lunch Vouchers

Mental Health support

Flexible remote working policy

Team-life events

Parental leave

Descripción de la vacante

Adikteev is seeking a Senior Data Engineer to own and evolve our ML Platform, architecting data infrastructure to power billions of real-time decisions daily. You will design, deploy, and scale predictive models and feature stores, building robust pipelines with Airflow and Spark.

You will mentor teammates, improve data quality, and drive data-centric reliability company-wide. You will work within a globally distributed, innovative ML team focused on high-velocity, cost-efficient,

Formación

• Proven data engineering experience with ML platforms.
• Strong background in MLOps and production challenges.
• Experience with Spark tuning and Airflow DAGs.
• Familiarity with feature stores and data modeling.

Responsabilidades

• Own the ML platform architecture for real-time and batch workflows.
• Design, deploy, and scale predictive models powering Adikteev's core systems.
• Build robust feature engineering pipelines and a centralized feature store.
• Develop scalable data pipelines with Airflow and Spark.
• Mentor peers and improve data quality, CI/CD, and docs.

Conocimientos

MLOps

Spark tuning

Airflow

Python

Java/Scala

Feature stores

Data modeling

Real-time / batch data

Kubernetes

AWS

Herramientas

Apache Spark

Apache Airflow

Kafka

Kubernetes

AWS

Descripción del empleo

Adikteev is seeking a Senior Data Engineer to own and evolve our ML Platform, architecting data infrastructure to power billions of real-time decisions daily. You will design, deploy, and scale predictive models and feature stores, building robust pipelines with Airflow and Spark.

You will mentor teammates, improve data quality, and drive data-centric reliability company-wide. You will work within a globally distributed, innovative ML team focused on high-velocity, cost-efficient,