Data Engineer at Age Bold

Los Angeles, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Technology, MedicareIndustries

Requirements

4–7+ years of experience in data engineering or a closely related role
Proficiency in Python and SQL, with experience developing data pipelines in modern orchestration frameworks (e.g., Dagster, Airflow, Prefect)
Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and transformation tools such as dbt
Familiarity with ETL/ELT best practices, data modeling (e.g., star/snowflake schemas), and pipeline performance optimization
Comfort working in a HIPAA-compliant cloud environment (AWS preferred)
Strong communication skills and the ability to collaborate across teams to translate business questions into scalable data solutions
A growth mindset — curious, resourceful, and excited to help shape Bold’s evolving data platform

Responsibilities

Design, build, and maintain scalable data pipelines that power analytics, reporting, and machine learning across the company
Partner with engineering, product, and data science teams to ensure data is reliable, well-modeled, and actionable for decision-making
Architect and implement our modern data stack — leveraging tools such as Snowflake, dbt, Dagster, and Databricks — to handle large, complex healthcare datasets
Develop and enforce data quality, observability, and governance practices that ensure integrity and compliance in a HIPAA-regulated environment
Integrate with healthcare and partner systems (e.g., eligibility feeds, EHRs, claims data) to expand the data ecosystem that drives clinical and engagement insights
Contribute to the design of our data models, transformation logic, and warehouse schema to support both operational and analytical needs
Collaborate on the evolution of Bold’s AI/ML capabilities by building and maintaining reliable, well-documented data pipelines for model training and deployment

Skills

Data Pipelines

Data Engineering

ETL

Data Modeling

Analytics

Machine Learning

Healthcare Data

Data Ingestion

Scalable Architecture

SQL

Python

AWS

BigQuery

Age Bold

Personalized online workout programs for seniors

About Age Bold

Bold provides personalized online workout programs specifically designed for older adults to improve balance, build strength, and reduce pain. These programs are based on scientific research and have been shown to decrease the risk of falls by 46%, addressing a major concern for seniors, as one in three adults over 65 experiences a fall each year. Bold primarily targets individuals aged 65 and older, partnering with health insurance providers to offer these programs at no cost to eligible participants, making them widely accessible. Unlike many competitors, Bold's business model focuses on collaboration with health plans, which helps reduce healthcare costs associated with falls while ensuring a steady user base. The goal of Bold is to enhance the physical health and well-being of older adults, ultimately helping them lead safer and more active lives.

Los Angeles, CaliforniaHeadquarters

2019Year Founded

$26.3MTotal Funding

SERIES_ACompany Stage

HealthcareIndustries

11-50Employees

Benefits

Stock Options

Risks

Increased competition from established platforms like SilverSneakers and Renew Active.

Potential challenges in maintaining user engagement due to technological barriers.

Reliance on health insurance partnerships poses revenue risks if agreements change.

Differentiation

Bold offers personalized, science-backed exercise programs for older adults.

The platform reduces fall risk by 46%, a significant health benefit for seniors.

Bold partners with health plans to provide free access to eligible participants.

Upsides

Bold raised $17M in Series A funding to expand its Medicare partnerships.

The platform covers over 10 million Medicare members, enhancing its market reach.

Growing demand for senior-focused digital health solutions supports Bold's expansion.

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