
Hybrid Data Engineering Lead: Source ETL & Analytics
Sondermind · Denver or Remote, United States Of America · Hybrid
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Sponsored by BlinkistAt SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking. To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.
This is a hybrid role in the Applied Science function, encompassing Data Engineering and Data Science. You will function as both a technical manager and a senior contributor to our production data warehouse. As a technical manager, you (and your team) will be responsible for the designing, building, managing - and making accessible - streaming and batched data ETL pipelines, moving data from source locations to clean production tables: Your main business stakeholder will be the Analytics and Business Operations teams. As a senior contributor, you will set the standard for code deployment and collaboration across the organization, working closely and collaborating with other data engineers and analysts. This role reports to the head of Applied Science and will have a staff seat within the department, having a voice in the planning and strategic direction of our data infrastructure.
Success in this role will be measured by the cost, performance, accessibility, and usability of our production data across the organization, enabling timely, data-driven, decision making. This includes maintaining high availability, ensuring optimal performance, and implementing robust security measures, as well as demonstrating the ability to collaborate effectively to define solutions with both technical and non-technical team members across data science, engineering, product and our core business functions. The successful candidate will make significant contributions to improving our data infrastructure through a combination of optimizing existing processes, or developing innovative new solutions, balancing individual engineering contributions with management and oversight of the team.
Required:
Preferred:
The anticipated salary rate for this role is between $150,000 - $175,000 per year.
As a leader in redesigning behavioral health, we are walking the walk with our employee benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their life and work.
Our benefits include:
This position will be an ongoing recruitment process and will be open until filled.
SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.