Lead Data Engineer - Healthcare Data Pipelines

Doist; New York (NY); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health & Wellness

Daily catered lunch

Mental health support

Wellness stipend

Learning budget

Conference attendance budget

Annual team offsite

Academic collaboration opportunities

Unlimited PTO

Job summary

AmigoAmigo is building AI-enabled healthcare infrastructure that ingests data from EHRs, schedulers, and warehouses to create a single patient-centric view. As a Staff Data Engineer, you will own end-to-end data ingestion, transformation, modeling, and the query tools used by analytics teams, ensuring correctness and freshness at scale.

You’ll design and operate production data platforms, optimize pipelines, and empower downstream teams with reliable access to clean healthcare data for AI and

Qualifications

• Experience building scalable data platforms with ingest, processing and serving millions of events.
• Proven ability to design scalable ETL/ELT workflows for production systems.
• Deep expertise in SQL, distributed query optimization, and large-scale data processing.

Responsibilities

• Ingest and synchronize customer systems (EHRs, schedulers, warehouses, APIs).
• Design transformations to normalize data models.
• Build and optimize data pipelines for a single clean patient/profile view.
• Power NLQ interfaces over healthcare data for analytics.

Skills

SQL

Distributed data processing

Data modeling

Data pipelines

Streaming & batch pipelines

CDC / event-driven

Connector frameworks

Performance optimization

Collaborative culture

Tools

Databricks

Snowflake

Delta Lake

Apache Iceberg

Spark

Kafka

Job description

AmigoAmigo is building AI-enabled healthcare infrastructure that ingests data from EHRs, schedulers, and warehouses to create a single patient-centric view. As a Staff Data Engineer, you will own end-to-end data ingestion, transformation, modeling, and the query tools used by analytics teams, ensuring correctness and freshness at scale.

You’ll design and operate production data platforms, optimize pipelines, and empower downstream teams with reliable access to clean healthcare data for AI and