Senior Data Engineer — Healthcare AI & Data Pipelines

Socket.dev; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Catered meals (lunch & dinner)

Mental health support

Wellness stipend

Learning budget

Conference attendance

Annual team offsite

Academic collaboration opportunities

Unlimited PTO

Job summary

Amigo is building trusted AI-driven healthcare data platforms to transform patient and provider data into a single, accurate view. The Senior Data Engineer will own ingestion, modeling, and analytics infrastructure, ensuring correctness and freshness at scale.

You’ll work on-site in New York City or San Francisco, collaborating across teams to deliver robust data products. Ideal candidates have hands-on experience with large-scale data systems, advanced SQL, and familiarity with enterprise data

Qualifications

• Built and operated production data systems at scale.
• Strong data modeling, transformation, and pipeline design.
• Deep SQL and query optimization experience over large datasets.
• Experience with enterprise data platforms such as Databricks, Snowflake, Palantir.

Responsibilities

• Building integrations that ingest and sync customer systems (EHRs, schedulers, warehouses, APIs).
• Designing transformations that turn messy source data into one normalized model.
• Building and optimizing data pipelines that keep one clean profile per patient.
• Powering natural language query interfaces over healthcare data.
• Owning data modeling, query performance, and data freshness at scale.

Skills

production data systems

data modeling

SQL optimization

enterprise data platforms

simple maintainable

low ego

on-site NY/SF

Tools

Databricks

Snowflake

Palantir

Job description

Amigo is building trusted AI-driven healthcare data platforms to transform patient and provider data into a single, accurate view. The Senior Data Engineer will own ingestion, modeling, and analytics infrastructure, ensuring correctness and freshness at scale.

You’ll work on-site in New York City or San Francisco, collaborating across teams to deliver robust data products. Ideal candidates have hands-on experience with large-scale data systems, advanced SQL, and familiarity with enterprise data