Atlas Labs

Staff Engineer (Data)

Remote US
USD 200k - 240k
API Streaming GCP Python
This job is closed! Check out or
Description

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. In addition to key data engineering activities within a given team, Staff Engineers are responsible for leading the broader enterprise implementation of initiatives and systems, working across teams to support the integration efforts of systems and eliciting feedback for technical and product leadership. 

 

Responsibilities: 

  • Engineer and evangelize scalable, reliable, and performant systems that manage data 
  • Champion data and software engineering best practices throughout the Atlas organization 
  • Lead data infrastructure development and implement scalable enterprise-capable data solutions. 
  • Collaborate with platform engineers on creating reliable and secure systems
  • Collaborate closely with team members and product stakeholders, as well as other engineers across the organization
  • Create trustworthy, secure, governable, and standardized data systems for consumption
  • Develop readable, well-tested applications, APIs, and libraries 
  • Develop systems and tools that improve the developer experience and enhance throughput
  • Provide guidance and mentorship to more members of the team on best practices and skills development
  • Partner with engineering and product leadership on architecture, feasibility, and org-readiness planning
  • Implement application observability in the form of metrics, logging, and monitoring 
  • Provide support for platform concerns and coordinate response plans with appropriate stakeholders 

Requirements: 

  • Professional experience with cloud-based systems 
  • Demonstrated ability to lead technology initiatives in prior roles and initiatives 
  • Experience with data architectures and tools in support of streaming and batch driven data processing 
  • Solid understanding of distributed task orchestration 
  • Prior experience in developing and testing systems that manage data reliability, efficiency, and quality
  • Prior experience in API development and testing
  • Working knowledge of data management architectures and patterns
  • Comfort with developing IAC with a core understanding of security principles
  • Understanding of multiple software development and architectural paradigms
  • Familiarity with domain driven design concepts
  • Excellent collaboration and communication skills
  • Computer Science or related technical degree in a related field or equivalent technical experience 

Bonus points: 

  • Depth of knowledge in Google Cloud Platform
  • Experience working in an ePHI environment 

Preferred Qualifications: 

  • Familiarity with our current stack: Python, Apache Airflow, BigQuery & GCP Ecosystem 

Salary: Salary for this position is $200,000-$240,000 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.

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

50,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 212 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers