
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 2+ years of experience in building batch data workflows using Python and SQL, preferably for healthcare. It offers a contract duration of over 6 months, remote work, and a pay rate of $90-$135/hr.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
1080
-
ποΈ - Date discovered
September 27, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Remote
-
π§ - Skills detailed
#AI (Artificial Intelligence) #Airflow #React #CMS (Content Management System) #Debugging #Datasets #Batch #Cloud #Scala #SQL (Structured Query Language) #Data Pipeline #Data Governance #Python #SaaS (Software as a Service) #Data Quality #BI (Business Intelligence) #Data Engineering #Documentation #ML (Machine Learning) #BigQuery #Data Warehouse #Monitoring #dbt (data build tool)
Role description
Healthcare - Data Engineer
Location: Remote
Job Type: Full-time/Contract
Full-time Salary Range: $110K - $140K
Contract Salary Range: $90-$135/hr
About Us
Phamily is a healthcare technology company focused on making proactive care management simple, scalable, and financially sustainable. Our SaaS platform equips health systems and physician groups with AI-powered virtual care tools to better manage chronic conditions and general patient needs between office visits. By shifting healthcare from reactive, episodic treatment to proactive care management, we've already supported tens of thousands of patients, and we're just getting started. Join us as we continue to revolutionize how care is delivered.
Job/Role Description
As a Data Engineer at Phamily, you'll own the pipelines and infrastructure that power our AI-driven virtual care platform. You'll build automated data workflows that ingest, standardize, and deliver healthcare data into our product and analytics environment. You'll also support the operationalization of ML/AI tools and keep essential reference datasets accurate and up to date.
This role is highly impactful: the pipelines you design will ensure our teams have timely, trusted data to improve patient outcomes and support clinicians at scale. If you're excited about building simple, reliable, and secure data systems in healthcare, this role is for you.
Key Responsibilities
Design, build, and automate batch data pipelines that ingest from files, APIs, and SFTP into BigQuery and product environments.
Implement scheduling, monitoring, retries, and backfills to ensure reliable and repeatable workflows.
Establish guardrails such as schema management, versioning, and basic SLAs for data freshness and reliability.
Productionize ML/AI batch jobs and publish outputs into analytics-ready tables.
Maintain and refresh healthcare reference datasets (e.g., NPI, codesets, CMS lists) on schedule.
Document pipelines clearly and make outputs consumable for analytics and BI teams.
Handle PHI with care and follow HIPAA-aligned data governance practices.
Requirements
2+ years of experience building batch data workflows using Python and SQL, publishing to cloud data warehouses (BigQuery preferred).
Proficiency with modern schedulers/orchestrators (e.g., Airflow, Prefect, Dagster) and containerized environments.
Experience ingesting data from APIs, files, and SFTP sources, including schema evolution management.
Strong debugging, monitoring, and CI/CD fundamentals.
Excellent documentation and communication skills with an ownership mindset.
Bonus: Experience with dbt, data quality testing, or healthcare data formats (claims, EHR, CMS datasets).
Bonus: Familiarity with running ML jobs in production.
Our Compensation & Benefits
Competitive compensation commensurate with experience
Potential to earn equity based on performance
Remote-friendly work environment
Medical, dental, and vision coverage for employees and dependents at a nominal cost
Paid maternity leave
FSA and Dependent Care account options
401(k) eligibility after 6 months of full-time employment
Collaborative, mission-driven work environment
If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You'll join a smart, humble, and collaborative team dedicated to improving healthcare.
Equal Employment Opportunity
Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.
Healthcare - Data Engineer
Location: Remote
Job Type: Full-time/Contract
Full-time Salary Range: $110K - $140K
Contract Salary Range: $90-$135/hr
About Us
Phamily is a healthcare technology company focused on making proactive care management simple, scalable, and financially sustainable. Our SaaS platform equips health systems and physician groups with AI-powered virtual care tools to better manage chronic conditions and general patient needs between office visits. By shifting healthcare from reactive, episodic treatment to proactive care management, we've already supported tens of thousands of patients, and we're just getting started. Join us as we continue to revolutionize how care is delivered.
Job/Role Description
As a Data Engineer at Phamily, you'll own the pipelines and infrastructure that power our AI-driven virtual care platform. You'll build automated data workflows that ingest, standardize, and deliver healthcare data into our product and analytics environment. You'll also support the operationalization of ML/AI tools and keep essential reference datasets accurate and up to date.
This role is highly impactful: the pipelines you design will ensure our teams have timely, trusted data to improve patient outcomes and support clinicians at scale. If you're excited about building simple, reliable, and secure data systems in healthcare, this role is for you.
Key Responsibilities
Design, build, and automate batch data pipelines that ingest from files, APIs, and SFTP into BigQuery and product environments.
Implement scheduling, monitoring, retries, and backfills to ensure reliable and repeatable workflows.
Establish guardrails such as schema management, versioning, and basic SLAs for data freshness and reliability.
Productionize ML/AI batch jobs and publish outputs into analytics-ready tables.
Maintain and refresh healthcare reference datasets (e.g., NPI, codesets, CMS lists) on schedule.
Document pipelines clearly and make outputs consumable for analytics and BI teams.
Handle PHI with care and follow HIPAA-aligned data governance practices.
Requirements
2+ years of experience building batch data workflows using Python and SQL, publishing to cloud data warehouses (BigQuery preferred).
Proficiency with modern schedulers/orchestrators (e.g., Airflow, Prefect, Dagster) and containerized environments.
Experience ingesting data from APIs, files, and SFTP sources, including schema evolution management.
Strong debugging, monitoring, and CI/CD fundamentals.
Excellent documentation and communication skills with an ownership mindset.
Bonus: Experience with dbt, data quality testing, or healthcare data formats (claims, EHR, CMS datasets).
Bonus: Familiarity with running ML jobs in production.
Our Compensation & Benefits
Competitive compensation commensurate with experience
Potential to earn equity based on performance
Remote-friendly work environment
Medical, dental, and vision coverage for employees and dependents at a nominal cost
Paid maternity leave
FSA and Dependent Care account options
401(k) eligibility after 6 months of full-time employment
Collaborative, mission-driven work environment
If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You'll join a smart, humble, and collaborative team dedicated to improving healthcare.
Equal Employment Opportunity
Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.