Data Engineer II (Healthcare Data Systems) Atlanta

OMNY; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Front-row seat in team building

Impactful role in healthcare

Opportunities for growth

Job summary

OMNY in Atlanta is looking for a Data Engineer II passionate about healthcare technology. You'll architect and scale data pipelines to turn raw clinical data into usable research products while ensuring privacy compliance.

The ideal candidate has 3-5 years of experience in Data Engineering, expertise in GCP, BigQuery, and Snowflake, and is adept at building ETL pipelines. Join us to make a real impact in health tech.

Qualifications

• 3-5+ years in Data Engineering focused on healthcare pipelines.
• Familiarity with healthcare data challenges like ICD-10 or FHIR.
• Mastery of data modeling and ETL processes.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for healthcare data.
• Implement data quality checks and compliance protocols.
• Collaborate on cloud infrastructure management and security.

Skills

Python

SQL

GCP

ETL/ELT pipelines

BigQuery

Snowflake

dbt

Argo Workflows

SODA

Tools

CloudSQL

Data Build Tool (dbt)

Job description

## Data Engineer II (Healthcare Data Systems)Atlanta#### About The Position**The Mission**At OMNY Health, we are bridging the gap between clinical complexity and life-saving research. We are looking for a **Data Engineer II** who is passionate about the intersection of healthcare and technology. Your primary mission will be to architect and scale the pipelines that transform raw, messy clinical data into a high-fidelity, de-identified, research-ready data product. You will be a key player in managing our hybrid data landscape, extracting insights from our data sources, and curating them within our BigQuery and Snowflake environments. This role is about ensuring privacy at scale while maintaining the scientific utility of the data powering the next generation of medical breakthroughs.#### Requirements**Key Responsibilities*** **Pipeline Development:** Design, build, and maintain robust ETL/ELT pipelines to ingest structured and unstructured healthcare data into our BigQuery and Snowflake warehouses.* **Modern Transformations:** Lead the development of modular, high-performance transformations using stored procedures, and dbt (data build tool) to map raw clinical data to standardized research schemas in our Common Data Model (CDM).* **Cloud-Native Orchestration:** Deploy and manage complex workflows using **Argo**, ensuring high availability and fault tolerance within our **GCP** ecosystem.* **Automated Data Quality:** Implement “trust-but-verify” frameworks using **SODA** to monitor clinical data integrity, ensuring every record in our research product is validated and compliant.* **De-identification & Privacy:** Implement and automate sophisticated de-identification protocols (Safe Harbor or Expert Determination methods) to ensure HIPAA compliance while preserving data longitudinality.* **Data Modeling:** Architect scalable data models (Common Data Model) that allow researchers to query complex patient journeys with ease.* **Infrastructure:** Collaborate with DevOps to manage cloud-native data infrastructure, ensuring high availability and rigorous security controls.**Technical Qualifications*** **Experience:** 3-5+ years in Data Engineering, with a focus on building production-grade healthcare pipelines.* **GCP & Storage:** Hands-on experience with Google Cloud Platform, specifically CloudSQL and BigQuery.* **Warehousing:** Deep expertise in BigQuery and Snowflake architectures, including performance tuning and secure data sharing.* **Code & Orchestration:** Expert-level Python and SQL.* Proven experience with Argo Workflows/Events for containerized orchestration.* Mastery of dbt for maintaining the transformation layer.* **Quality Assurance:** Experience using SODA (or Great Expectations) to define and enforce data contracts.* **Healthcare Domain:** Familiarity with healthcare-specific data challenges (ICD-10, FHIR, or provider-specific MS SQL schemas) is a significant plus.* **Security Mindset:** Understanding of HIPAA regulations and encryption standards.**Core Competencies*** **The “Curator” Mindset:** You don’t just move data; you care about its meaning. You understand that a “null” in a lab result is a clinical signal, not just a missing string.* **Adaptability:** You thrive in the “zero-to-one” phase where documentation might be thin, but the impact is massive.* **Collaborative Spirit:** You can speak “Data” to engineers and “Insight” to clinical researchers.**Our Tech Stack*** **Cloud:** GCP* **Databases:** CloudSQL (MS SQL Server), BigQuery, Snowflake* **Transformation:** dbt* **Orchestration:** Argo* **Validation:** SODA* **Languages:** Python, SQL#### What We Offer**Why Join Us?*** **Impact:** Your work directly enables researchers to find cures and improve patient outcomes.* **Innovation:** We are tackling the hardest problem in health tech: making data usable without sacrificing privacy.* **Growth:** As an early hire, you will have a front-row seat (and a steering wheel) in building our engineering culture.**Note on De-identification:** > Because this role focuses on a research-ready product, the candidate should be familiar with the trade-offs between data utility and privacy—specifically how to handle dates, zip codes, and unique identifiers in a way that satisfies both statisticians and compliance officers.#### Apply for this position***Recruitment Security & Fraud Prevention*** *At OMNY Health, your security and privacy are our top priorities throughout the hiring process. Please be aware that all official recruitment communications will be conducted directly through our secure hiring platform or via a corporate email address ending in @**omnyhealth.com**.**To protect yourself against recruitment fraud, please note that we never conduct interviews or extend offers via Telegram, WhatsApp, or LinkedIn Direct Messages. If you receive a message regarding a career opportunity through these unofficial channels, it is not from OMNY Health. We encourage you to verify any suspicious outreach by contacting us directly through our official website.*