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# Senior Data Engineer

- **Company:** Raylu Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $165,000 - $250,000
- **Contract:** Permanent contract
- **Skills:** Airflow, Big Data, Databases, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Performance Tuning, DataOps, Data Streaming, Scripting, Data Storage Technologies
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-new-york-ny--3412c74b-d668-4c89-b190-1f3a89cfda4a

## About the Role

Python Programming/Scripting Language, Database Extract Transform and Load (ETL), Service Level Agreement (SLA), Documentation, Economics, Performance Tuning/Optimization, Diving, Negotiation Skills, Vendor/Supplier Management, Data Storage

## Description

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
 * 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.