No Patient Left Behind
Some people would rather die than leave their family with medical debt.
This includes people with cancer not showing up to their chemotherapy appointments due to cost, or people stopping treatment because they don’t want their spouse to be forced to sell their home in bankruptcy.
Beyond our goal of building a multibillion-dollar business, there’s a real mission and soul behind Atlas and that’s why we continue to attract incredible people to join us on our journey, whether they be colleagues, customers, or partners.
Patients owe $500B every year in out-of-pocket medical expenses, and there’s only two ways for medical providers to collect – either the patient pays or someone else does. We focus on the latter and call it medical financial aid.
Our platform we're developing proactively matches patients to programs, automates enrollment, streamlines the back office billing and collection activities, and manages coverage gaps for patients on an ongoing basis. Patients access and afford the care they need while providers get reimbursed to keep the lights on and continue to serve the community.
Data Engineers on our data platform team develop systems that manage data flow throughout the Atlas infrastructure and support downstream data applications. These systems are responsible for handling sensitive patient data, and members of the team are technical champions of ensuring HIPAA standards for confidentiality and compliance. Broadly, this role focuses on all elements of data engineering, such as ingestion, transformation, and distribution of data, and works alongside security engineering and business implementation & operations teams as a custodian of patient and company data.
Responsibilities:
- Engineer scalable, reliable, and performant systems that manage data
- Consume data from a variety of sources and formats, such as flat files, streaming systems, or APIs
- Leverage cloud infrastructure to develop scalable data solutions.
- Collaborate with platform engineers on creating reliable and secure systems
- Collaborate closely with team members and product stakeholders
- Create trustworthy, secure, governable, and standardized data components for consumption
- Develop readable, well-tested applications, APIs, and libraries
- Implement application observability in the form of metrics, logging, and monitoring
Requirements:
- Professional experience with cloud-based systems
- Experience with data architectures and tools in support of streaming and batch driven data processing
- Solid understanding of distributed task orchestration
- Demonstrated ability in developing and testing systems that manage data reliability, efficiency, and quality
- Understanding of multiple software development paradigms
- First-nature comfort in working with containerization tools
- Computer Science or related technical degree in a related field or equivalent technical experience
Bonus points:
- Depth of knowledge in Google Cloud PlatformExperience working in an ePHI environment
- Familiarity with domain driven design concepts
Preferred Qualifications:
- Fluency in Python
- Experience using Apache Airflow or similar orchestration systems
- Experience with IaC tools
Salary: Salary range for this position is $120,000-$165,000 per year
Why Join Our Team:
Because you’re motivated by a combination of success, working alongside incredible people, and have a passion for helping clients and patients. Atlas helps people access essential medical treatment, and avoid financial ruin from medical debt. You care about being a part of the journey and wish to play a key role in our organization’s success.
Benefits:
We offer a comprehensive benefit plan for our U.S. based employees which includes:
- Health, dental and vision insurance
- 401K
- Flexible time off
- Paid holidays
Atlas values diversity of all kinds, and we’re committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives.
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