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Software Engineer - Data

Job in New York, New York County, New York, 10261, USA
Listing for: Amadeus Search
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 220000 USD Yearly USD 150000.00 220000.00 YEAR
Job Description & How to Apply Below
Location: New York

Role: Software Engineer – Data

Type: Full-time, On-site

Location: New York City, NY

Compensation: $150k – $220k base salary + competitive equity

Visa: No new sponsorship; visa transfers possible

Team size: ~30 employees

Industry: Insurance Tech / Fintech

Founded: 2022

Funding: $11M+

About the Company

This high-growth startup is modernizing a legacy industry by enabling software platforms to seamlessly embed financial products into their offerings. Their platform helps small businesses access affordable, tailored coverage while also unlocking new revenue streams for SaaS partners. The company already serves thousands of businesses nationwide through strategic partnerships and is backed by top venture investors.

Role Overview

As a Software Engineer – Data
, you’ll be responsible for building the company’s core data infrastructure from the ground up. You’ll design and implement pipelines, models, and dashboards that power both internal decision-making and customer‑facing insights. This is an on‑site role in NYC with high visibility across product, engineering, finance, and operations.

Key Responsibilities
  • Build foundational full‑stack data infrastructure.
  • Develop and maintain automated ELT/ETL workflows (e.g., Fivetran) into a Snowflake warehouse.
  • Design schemas and data models to represent core business entities (customers, transactions, events, etc.).
  • Define and standardize company‑wide metrics and dimensions.
  • Create dashboards and reports to democratize access to data.
  • Build in‑app embedded dashboards for end users.
  • Collaborate with product, engineering, finance, and ops teams to align on product roadmaps and success metrics.
Tech Stack
  • SQL
  • Snowflake
  • BI tools (dashboards and visualization platforms)
  • ETL/ELT pipelines (e.g., Fivetran)
Candidate Profile
  • Strong experience in data engineering, data modeling, and business intelligence.
  • Comfortable building pipelines and structuring warehouses to support analytics.
  • Able to translate business needs into robust data solutions.
  • Skilled at creating user‑facing dashboards and embedded analytics.
  • Excited by the challenge of bringing modern infrastructure to a traditional industry.
Benefits
  • Competitive base salary + equity
  • On‑site culture (4–5 days/week in NYC HQ)
  • Direct impact on a fast‑scaling team modernizing an industry
  • Exposure to cross‑functional work with engineering, product, and business teams
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