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Senior Data Engineer
Raylu
- New York, New York, United States
- New York, New York, United States
À propos
What we’re looking for
Core stack : Python, Dagster, DuckDB, Postgres
Pipelines at scale : Building resilient ELT/ETL with strong contracts, idempotency, and lineage.
Data operations : Set quality bars, manage BPO workflows, and run SLAs with external data partners.
Serving & access : Position data for production use from serving infrastructure, documentation, and SLAs for internal consumers.
Cost & performance : You tune storage/compute and keep a sharp eye on unit economics.
Opinionated: Deep level of understanding of the technological landscape, making both high level system and granular code design decisions based on understanding rather than preference - diving deep on unknown patterns in order to build the best product.
Responsibilities
Own end-to-end data flows: ingestion, normalization, entity resolution, enrichment, and delivery.
Stand up monitoring for freshness, completeness, and accuracy; drive RCA and prevention.
Build internal tools that make data discoverable and usable by engineering and product.
Recruit, onboard, and manage BPO vendors; negotiate and run data partnerships.
Nice to have
Experience with big data, columnar storage formats, vector indexes, and privacy/compliance in data products.
Logistics
Compensation: $165K - $230K salary, competitive equity (4 year vest)
Location: New York City. We are a fully in-office team working out of Midtown Manhattan Monday through Friday. We allow for WFH days when anyone is traveling, but we do not allow for permanent remote work.
Generous health, dental, and vision insurance
401k with 3% automatic contribution (no vesting)
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Compétences linguistiques
- English
Avis aux utilisateurs
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