Data Engineer - End-to-End ML Pipelines (Equity, NY)

Raydar

New York (NY)

On-site

USD 200,000 - 250,000

Full time

5 days ago

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Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

Raydar is seeking a senior data engineer to own end-to-end data engineering for a large analytics and machine learning platform. Youll shape raw records into production-ready data, ensuring reliability, speed and quality as volumes grow.

You will partner with data scientists and build interfaces for AI-driven applications, working with cloud warehouses and major cloud providers. You will expand data pipelines, improve ingestion and transform processes, and contribute within focused teams

Qualifications

Experience owning end-to-end ingestion pipelines for large, messy data.
Experience delivering ML/analytics pipelines; modeling or MLOps alone is not enough.
Proven track record running reliable data systems at high volume.
Familiarity with Airflow, Dagster, Prefect, dbt or SQLMesh.

Responsibilities

Own ingestion, modeling and transformation for a large-scale data asset and its pipelines.
Expand connections to external business systems as data footprint grows.
Collaborate with data scientists to productionize workflows and ensure data quality.
Create interfaces for AI-driven apps to query and consume data.
Work with cloud data warehouse, orchestration tools and major cloud providers.