Senior Data Engineer - Remote (AI/ML Data Pipelines)

Symmetric Health Solutions, LLC; United States; A distancia; USD 140.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary with performance‑dr

100% covered health, dental, vision

401K matching

Flexible PTO

Remote-US with occasional in-person?""

Descripción de la vacante

Symmetric Health Solutions, LLC is seeking a Senior Software Engineer - Data to design, build, and optimize data pipelines powering our healthcare data platform. You will work with large, messy healthcare data, combining ETL/ELT with LLM-powered enrichment and ML-driven data quality to deliver reliable assets for analytics and customer applications.

The role blends traditional data engineering with applied AI, building scalable infrastructure while collaborating with engineering, product, and

Formación

• 4+ years of experience as a software or data engineer, with at least 3+ years focused on data engineering.
• Strong proficiency in Python and SQL for data pipeline development and analysis.
• Hands-on experience architecting and operating data solutions on AWS (S3, Glue, Athena, or equivalent).
• Experience designing and maintaining ETL/ELT pipelines at scale, including orchestration tools (Airflow, Dagster, or similar).
• Solid understanding of data modeling, schema design, and data warehouse best practices.
• DevOps experience: CI/CD, infrastructure-as-code, containerization, and operationalizing production data workloads.
• Hands-on experience integrating LLMs or ML models into production data pipelines — including prompt design, evaluation, structured output handling, and managing cost, latency, and reliability at scale.
• Strong communication skills with the ability to collaborate effectively across technical and non-technical teams.

Responsabilidades

• Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver healthcare data from structured and unstructured sources.
• Architect data solutions on AWS, selecting tools and patterns for performance, reliability, and cost efficiency.
• Develop and enforce data quality frameworks including validation, reconciliation, and monitoring across all pipeline stages.
• Build and operate LLM-powered pipelines for entity extraction, classification, normalization, and matching of unstructured data.
• Design prompting, evaluation, and tuning workflows turning LLMs into reliable production components.
• Integrate ML models into the data platform — training pipelines, feature stores, batch and online inference, monitoring for drift and quality.
• Partner with domain experts to build labeled datasets, evaluation benchmarks, and human-in-the-loop feedback systems.
• Partner with Product Management, Application Engineering, and Data Operations to deliver data solutions aligned with the product roadmap.
• Prototype and iterate on tools for data review and validation used by domain experts.
• Mentor junior engineers and contribute to team practices around code quality, testing, and documentation.
• Participate in code reviews, architectural discussions, and technical planning sessions.

Conocimientos

Python

SQL

Data engineering

CI/CD

Herramientas

AWS

Airflow

Dagster

Docker

Terraform

Descripción del empleo

Symmetric Health Solutions, LLC is seeking a Senior Software Engineer - Data to design, build, and optimize data pipelines powering our healthcare data platform. You will work with large, messy healthcare data, combining ETL/ELT with LLM-powered enrichment and ML-driven data quality to deliver reliable assets for analytics and customer applications.

The role blends traditional data engineering with applied AI, building scalable infrastructure while collaborating with engineering, product, and