ML & Data Engineer - Real-Time Time-Series Infra

Intetics-Inc; United States; Remote; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Intetics Inc. is hiring a skilled ML/Data Engineer for a full-time, 12-month project in the USA. You will design and operate large-scale data infra, real-time ingestion, and graph models for athlete data, ensuring low-latency ML foundations and strong data provenance. Collaboration with ML engineers and domain experts is essential.

The role requires extensive Python/SQL, experience with time-series data, and multi-tenant systems. Remote-friendly with CET hours and EU candidate emphasis.

Qualifikationen

• 5+ years of full-time professional software or data engineering experience, excluding internships.
• Proven experience designing, building, and operating production data infrastructure at scale.
• Strong experience with time-series data or time-series databases.
• Significant experience with real-time or streaming data ingestion technologies.
• Experience designing graph data models or graph schemas.
• Experience operating multi-tenant systems with tenant-level isolation.
• Strong Python and SQL skills; Go is highly desirable.
• Experience with reliable, observable, scalable production systems.
• Ability to own ambiguous technical problems and translate to production architectures.
• Experience working with data scientists/ML engineers.

Aufgaben

• Design and build production data infrastructure for high-volume athlete data.
• Build and operate real-time and near-real-time ingestion systems.
• Design storage architectures for high-volume time-series data.
• Make production features and metrics available to ML systems with low latency.
• Design graph data models representing athletes, training loads, and outcomes.
• Build ML evaluation infrastructure for model calibration and monitoring.
• Maintain tenant data isolation across clubs and customers.
• Establish data provenance, lineage, and observability across the platform.
• Collaborate with ML engineers to support training, inference, and evaluation.
• Translate complex requirements with sport scientists into durable systems.

Kenntnisse

Full-time software/data engineering

Production data infrastructure

Time-series data

Real-time streaming ingestion

Python

SQL

Go

AWS

Graph data models

Multi-tenant systems

Data provenance/observability

ML/AI data foundations

Kubernetes/ECS

REST/GraphQL

PostgreSQL/MongoDB

Tools

InfluxDB

TimescaleDB

Prometheus

ClickHouse

Kafka

Kinesis

Flink

Spark Streaming

Pulsar

Python

SQL

Go

AWS

ECS

EC2

Lambda

SNS

SQS

GraphQL

REST

gRPC

PostgreSQL

MongoDB

Jobbeschreibung

Intetics Inc. is hiring a skilled ML/Data Engineer for a full-time, 12-month project in the USA. You will design and operate large-scale data infra, real-time ingestion, and graph models for athlete data, ensuring low-latency ML foundations and strong data provenance. Collaboration with ML engineers and domain experts is essential.

The role requires extensive Python/SQL, experience with time-series data, and multi-tenant systems. Remote-friendly with CET hours and EU candidate emphasis.