Senior ML Data Platform Engineer — Remote

hive.co; United States; Remote; USD 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

Meaningful salary and equity

Remote work

Flexible hours

Health & Dental coverage

Unlimited vacation/PTO

Zusammenfassung

Hive is seeking a Senior Data Engineer to evolve our data platform and ML infrastructure. You’ll own end-to-end data pipelines, from ingestion to productionized features, impacting product speed and business decisions.

You’ll work across the data stack with Python, SQL, and ML tooling, building scalable systems, observability, and agentic pipelines. This full-time, remote role offers equity and a fast-paced, collaborative environment.

Qualifikationen

• 8+ years of hands-on data engineering experience in production systems.
• Experience designing and operating large-scale distributed data and ML pipelines.

Aufgaben

• Build our Data Platform: cloud-native big data platform for millions of attendees and billions of interactions.
• Build our ML Platform: feature stores, training pipelines, model serving, and monitoring for low latency.
• Own the Full Pipeline from CDC through validation, transformation, and denormalization with business impact awareness.
• Ship Data as a Product with SLAs and data health observability.
• Leverage LLMs and agentic systems to enrich pipelines and automate workflows.

Kenntnisse

Data engineering

ML engineering

Python

Distributed systems

MLOps

LLMs

Stakeholder comms

Ausbildung

BS in CS/Engineering

MS preferred

Tools

ClickHouse

MySQL

MongoDB

ElasticSearch

Redshift

Airflow

Dagster

PyTorch

TensorFlow

Jobbeschreibung

Hive is seeking a Senior Data Engineer to evolve our data platform and ML infrastructure. You’ll own end-to-end data pipelines, from ingestion to productionized features, impacting product speed and business decisions.

You’ll work across the data stack with Python, SQL, and ML tooling, building scalable systems, observability, and agentic pipelines. This full-time, remote role offers equity and a fast-paced, collaborative environment.