Data Engineer

Century Health is a clinical data intelligence company turning messy real-world clinical data into structured, analysis-ready insights for researchers and pharma teams.

The Role

We're looking for a ** Data Engineer (3–5 years)** to be a core builder on our data platform — designing ETL pipelines, profiling raw clinical datasets, and ensuring data flowing through our systems is clean and reliable.

What You'll Do

Design, build, and maintain ETL/ELT pipelines ingesting data from CSVs, Parquet, XLSX, APIs, and databases

Optimize pipeline performance — tune queries, manage compute, reduce latency and cost

Profile raw datasets to identify quality issues: missing values, duplicates, schema drift, outliers

Build and maintain dbt models for clean, documented, analysis-ready data layers

Orchestrate workflows using Apache Airflow on AWS MWAA

Process large-scale data using PySpark on EMR

Collaborate with ML engineers and GTM teams on downstream use cases

Document pipelines, models, assumptions, and known issues clearly

What We're Looking For

Must-Have

3–5 years of professional data engineering experience

Strong SQL — window functions, CTEs, query optimization

Solid Python — clean, modular, production-grade code

Hands-on PySpark for large-scale processing

Experience with dbt, Snowflake, and cloud-based ETL/ELT

Familiarity with AWS: S3, MWAA, ECS Fargate, EMR, RDS, Bedrock

Strong data intuition and ability to work independently in ambiguous environments

Experience with test suites — pytest, Great Expectations, dbt tests

Active use of AI coding tools (Cursor, Claude Code, etc.)

Immediate Joiners only (1 month notice period). We can be flexible for exceptional candidates.

Nice to Have

Healthcare data experience (HIPAA, FHIR, HL7, OMOP)

Data science background (statistical modeling, ML pipelines, feature engineering)

DevOps exposure (CI/CD, Docker, Terraform/CDK)

Tech Stack

Cloud: AWS (MWAA, ECS Fargate, EMR, RDS, S3, Bedrock)

Data Warehouse: Snowflake

Transformation: dbt

Processing: PySpark, Python

Orchestration: Apache Airflow (MWAA)

AI Tools: Cursor, Claude Code

Hiring Process

Application Review

Take-Home Assignment (~3 hours, real clinical data)

Technical Interview

Managerial Interview

Why Century Health

Hard data problems with real clinical impact

Small, high-ownership team — your work ships and matters

Modern cloud-native stack with architectural influence

AI-first engineering culture