Data Engineer

Responsibilities

Orchestration: Build, manage, and maintain data workflows in Apache Airflow, ensuring pipelines run reliably, are well-monitored, and recover gracefully from failures

Integrations & Automation: Design and build integrations between internal systems and external services (APIs, vendors, partners) and develop process automations that reduce manual work across teams

Data Modeling: Build and maintain dbt models and our semantic layer, creating clean, well-documented, and trustworthy datasets that the business can rely on for reporting and analysis

Collaborate with stakeholders across the business to understand data needs and translate them into scalable technical solutions

Monitor data quality and pipeline health, troubleshoot issues, and continuously improve reliability and performance

Document data models, pipelines, and integrations so systems are maintainable and understandable by the wider team

Preferred

Master's preferred

Experience with Power BI or similar BI/visualization tools

Exposure to machine learning models (e.g., supporting ML pipelines, feature engineering, or model integration)

Healthcare industry experience, especially with healthcare data or systems; knowledge in data standards such as HL7, FHIR, CCD, CCR and claims data

Benefits

Comprehensive medical, dental, and vision insurance.

Employer-sponsored 401(k).

Generous paid time off, paid holidays, and CME/professional development allowance.

Hybrid work flexibility (Lakewood-based role; some remote work available).

Bloom Healthcare provides primary and urgent care services through telehealth as well as a home treatment.

Lakewood, Colorado, USA

https://bloomhealthcare.com

Late Stage

Leadership Team

Dr. Thomas Lally

Founder & CEO

Franke Elliott

Co-Founder, Chief Strategy Officer

Recent News

Business Wire

eClinicalWorks and Sunoh.ai Enhance Home-Based Primary Care and Operational Efficiency at Bloom Healthcare

2026-01-22

Energage and Nurse.com Announce 2025 Top Workplaces for Nursing Award Winners

2025-06-03

Denver Post

Top Workplaces 2025: Colorado businesses harness AI to revolutionize hiring

2025-05-17

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Qualifications

Bachelor's degree in mathematics, biostatistics, engineering or a related field

3+ years of industry experience in data engineering building scalable data pipelines and data products

Strong proficiency in Python and SQL (required)

Hands-on experience building and consuming APIs

Experience with workflow orchestration tools (e.g. Airflow, Dagster)

Experience building and maintaining dbt models, or similar transformation/modeling frameworks

Experience building advanced analytics and AI or ML models, including tools leveraging LLMs or agentic AI such as data retrieval and cleaning, modeling, accuracy evaluation or testing, and visualization

Functional understanding of how to leverage AI and automation in data engineering such as building self-service tools, intelligent pipelines, and agents that automate repetitive tasks

Comfort working directly with business stakeholders to scope and deliver data solutions

Strong debugging and problem-solving skills, with attention to data quality and reliability

Applicants must be currently authorized to work in the United States on a full-time basis. Bloom Healthcare is unable to provide current or future employment visa sponsorship for this position

Master's preferred

Experience with Power BI or similar BI/visualization tools

Exposure to machine learning models (e.g., supporting ML pipelines, feature engineering, or model integration)

Healthcare industry experience, especially with healthcare data or systems; knowledge in data standards such as HL7, FHIR, CCD, CCR and claims data

3+ years of industry experience in data engineering building scalable data pipelines and data products.

Required skills

Python, SQL, Apache Airflow, API Integration, dbt, Data Pipelines, Machine Learning, Large Language Models (LLMs), Power BI, Healthcare Data, HL7, FHIR

Preferred skills

Master's preferred, Experience with Power BI or similar BI/visualization tools

Experience

3+ years