Amadeus Search
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr