Data Engineer

Optimus Health Analytics
New York, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 110K

Job location

New York, United States of America

Tech stack

API
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Health Informatics
Unix
Continuous Integration
Data Architecture
Information Engineering
ETL
Data Warehousing
Relational Databases
Linux
DevOps
Digital Assets
Identity and Access Management
Interoperability
JSON
Python
Machine Learning
Enterprise Messaging Systems
SQL Databases
Data Streaming
Workflow Management Systems
XML
Feature Engineering
Software Troubleshooting
Event Driven Architecture
Data Lake
Data Lineage
Health Level Seven International
Kafka
Machine Learning Operations
Cloudwatch
Data Pipelines

Job description

· Design, build, test, and maintain scalable data pipelines using Python, SQL, and AWS technologies.

· Develop ETL and ELT processes to ingest and transform healthcare data from claims, EHRs, CCDA, HL7, APIs, and partner data feeds.

· Improve pipeline performance, reliability, monitoring, and error handling.

· Automate repeatable workflows and contribute to CI/CD best practices.

Data Architecture & Modeling

· Build and maintain analytics-ready datasets, enterprise data models, and reporting structures.

· Support the evolution of our cloud-based data warehouse and data lake environments.

· Partner with engineering, analytics, and DevOps teams to improve scalability and accessibility of data assets.

Data Quality, Governance & Security

· Implement validation, reconciliation, and monitoring controls to ensure high-quality data.

· Maintain documentation, data lineage, metadata, and operational procedures.

· Support HIPAA-compliant handling of protected health information (PHI) and healthcare data governance standards.

Collaboration

· Work closely with Analytics, Data Science, Product, Operations, and client-facing teams.

· Collaborate with healthcare partners to define data mappings, file specifications, onboarding requirements, and validation processes.

· Support machine learning and advanced analytics initiatives through the delivery of trusted datasets and production-ready workflows.

Requirements

Do you have experience in UNIX?, · 2+ years of experience in Data Engineering, Analytics Engineering, ETL Development, or a related role.

· Strong proficiency in Python and SQL.

· Experience building and maintaining ETL/ELT pipelines.

· Understanding of data modeling, data warehousing concepts, and relational databases.

· Experience working in Linux or Unix environments.

· Strong troubleshooting, problem-solving, and communication skills.

· High attention to detail with a focus on data quality and production reliability.

Work Authorization Requirement: Applicants must be legally authorized to work in the United States. Optimus Health Analytics is unable to sponsor employment visas now or in the future for this position.

Preferred Qualifications

· Experience working with healthcare data, including payer, provider, claims, clinical, quality, risk adjustment, or care management datasets.

· Familiarity with healthcare interoperability standards such as CCDA, HL7, XML, and JSON.

· Experience with AWS services such as S3, Redshift, Glue, Lambda, Athena, IAM, and CloudWatch.

· Experience with workflow orchestration tools such as Apache Airflow.

· Exposure to streaming and event-driven architectures including Kafka, Kinesis, APIs, or messaging platforms.

· Knowledge of healthcare compliance and governance frameworks including HIPAA and NCQA.

· Experience supporting analytics engineering, dbt, machine learning pipelines, or feature engineering workflows.

What Success Looks Like

· Reliable, scalable, and well-documented data pipelines.

· High-quality, trusted datasets that support critical business and healthcare decisions.

· Faster onboarding of new healthcare data sources and partners.

· Strong collaboration across engineering, analytics, product, and business teams.

· Continuous improvements in automation, monitoring, documentation, and engineering best practices.

Why Join Us?

· Work on meaningful healthcare initiatives that improve patient outcomes.

· Gain hands-on experience with modern cloud data architecture and healthcare interoperability standards.

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance, · Collaborate with experienced professionals across engineering, analytics, product, and healthcare operations.

· Take ownership of impactful projects and grow your career in a rapidly evolving healthcare technology environment.

If you're excited about solving complex data challenges and building systems that make a real difference in healthcare, we'd love to hear from you.

Pay: $80,000.00 - $110,000.00 per year, * 401(k)

  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Vision insurance

About the company

Optimus Health Analytics is building data-driven solutions that help healthcare organizations identify patients, improve engagement, optimize treatment, and drive better outcomes. We work with healthcare data across claims, EHRs, CCDA, HL7, and other interoperability standards to create trusted analytics and operational insights.

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