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Senior Data Engineer

Raylu AI
Posted 5 months ago, valid for 13 days
Location

New York, New York 10008, NY

Salary

$165,000 - $230,000 per year

Contract type

Full Time

Health Insurance
Paid Time Off

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Sonic Summary

info
  • We are seeking a Senior Data Engineer to manage and optimize data at a massive scale, working with over 80 million companies and 800 million people.
  • The ideal candidate should have experience in Python, Dagster, DuckDB, and Postgres, and be skilled in building resilient ELT/ETL pipelines.
  • This role involves data operations, vendor orchestration, and ensuring data quality, with responsibilities including end-to-end data flow management and monitoring for accuracy.
  • The position offers a competitive salary ranging from $165K to $230K, along with equity and benefits such as health insurance and unlimited PTO.
  • Candidates should have a minimum of several years of relevant experience in data engineering and operations.

Position Summary

We’re hiring a Senior Data Engineer to own data at truly massive scale. You’ll design and run pipelines that clean, enrich, and serve data spanning hundreds of attributes across 80M+ companies and 800M+ people. The role blends classic data engineering with data operations, vendor/BPO orchestration, and data partnerships.

 

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.

  • Benefits:

    • Generous health, dental, and vision insurance

    • 401k with 3% automatic contribution (no vesting)

    • Paid Lunches

    • Wellness and Citi Bike benefit

    • Unlimited PTO




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