Data Engineer - TriEdge Lab & Investments

TriEdge is a Family Office and innovative healthcare technology and investment company. Our mission is to transform healthcare through a unique combination of software development and ownership of operating companies. We believe that the future healthcare technology leaders will be software companies that own and optimize healthcare infrastructure.

As healthcare spending continues to grow, projected to reach 20% of US GDP by 2032, TriEdge is positioning itself at the forefront of this transformation. We're seeking a skilled Data Engineer to join our team and help drive data-informed decision-making across our organization and portfolio companies. This position will focus on designing and implementing data pipelines, ensuring data quality, and supporting our AI and analytics initiatives in the healthcare sector.

Responsibilities

Data Pipeline Development: Design, build, and maintain efficient, scalable data pipelines to ingest, process, and store large volumes of healthcare data.

Data Modeling: Create and optimize data models to support analytics and machine learning applications.

Workflow Management: Implement robust solutions for data analytics workflows using Apache Airflow, ensuring that all data operations are automated and optimized for scale and speed.

Data Quality and Governance: Monitor system performance, implement improvements, and troubleshoot issues, ensuring the architecture supports emerging data analysis needs.

Big Data Technologies: Utilize big data technologies (e.g., Hadoop, Spark) to process and analyze large-scale healthcare datasets.

AWS Cloud Services Integration: Leverage various AWS technologies (e.g., S3, EC2, RDS, Redshift) to build secure and scalable data platforms.

Data Security: Ensure data security and privacy in compliance with HIPAA and other relevant healthcare regulations.

Collaboration: Work closely with data scientists, ML engineers, and software developers to support data-driven decision-making and AI model development.

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

3+ years of experience in data engineering or a similar role.

Expertise in managing, implementing, and optimizing Apache Airflow.

Fluent in SQL as well as working familiarity with a variety of databases.

Experience with big data technologies (e.g., Hadoop, Spark, Hive).

Proficiency in at least one modern programming language, preferably proficient with Python.

Familiarity with cloud platforms, preferably AWS (e.g., Redshift, S3, EMR).

Experience with data modeling, ETL/ELT design, and workflow management tools.

Strong analytical skills associated with working on unstructured datasets.

Knowledge of healthcare data standards (e.g., HL7, FHIR) is a plus.

Understanding of data privacy and security best practices, especially in healthcare.

Knowledge of and experience with Python

Knowledge of and experience with Restful/SOAP API

Experience with AWS Services (Bedrock, CICD) or equivalent DE

Knowledge of and experience with Data Lakes and Data Warehousing

Knowledge of and experience with SQL query

What We Offer

Competitive salary and performance-based bonus

Opportunity to participate in equity packages for successful incubations

Comprehensive benefits including health, vision, and dental coverage

401(k) matching program

Flexible work environment with offices in Miami, Hudson Yards NY, and potential for new locations

Chance to work on cutting-edge technologies in the rapidly evolving healthcare sector

High level of autonomy and transparency in a dynamic family office structure

Join TriEdge and be part of transforming healthcare through data-driven innovation and strategic investments. Your work will directly impact the efficiency and effectiveness of healthcare delivery, contributing to better patient outcomes and more sustainable healthcare economics.