Cityblock Health is the first tech-driven provider for communities with complex needs—bringing better care to where it’s needed most, block by block. Founded in 2017 on the premise that “health is local” and based in Brooklyn, we are backed by Alphabet’s Sidewalk Labs along with some of the top healthcare investors in the country.
Our mission is to improve the health of underserved communities. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we meet our members where they are, bringing care into the home and neighborhoods through our community-based care teams and Virtual Care offerings.
In close collaboration with community-based organizations, local providers, and leading health plans, we are reorganizing the health system to focus on what matters to our members. Equipped with world-class, custom care delivery technology, we deliver personalized primary care, behavioral health, and social services to deliver a radically better experience of care for every member and community we serve.
Over the next year, we’ll grow quickly to bring better care to many more members and their communities. To do this, we need people who, like us, believe that everyone should have good care for what matters to them, in their community.
Our work is grounded in a belief in the power of a diverse community. To close gaps in care and advance equity in the communities we serve, we have to start with making our own team diverse and inclusive. Our ways of working are characterized by creativity, collaboration, and mutual learning that comes from bringing together a community from diverse backgrounds and perspectives. We strive to ensure that every person on the Cityblock team, and every Cityblock member, feels supported and included as a part of our community.
About the Role:
As a senior analytics engineer, you’ll deliver fresh, documented, and tested data tables that meet the needs of our analytics and data science teams.
By applying software engineering principles such as version control, continuous integration and development, and orchestration to analytics code, you’ll create an environment in which stakeholders are able to easily navigate the database, locate a relevant table, and understand the transformation producing it.
In addition, you’ll work to ensure that tables are reliably refreshed and tested for quality, and you’ll make data freshness and test results visible to end users.
In this new, mid-level role, you’ll report to a tech lead manager on our central analytics engineering team, and be embedded in a cross-functional clinical success scrum. There, you’ll partner closely with data analysts and data scientists to maintain our burden-of-illness pipelines.
Within this domain, you’ll contribute to each of our three focus areas: data quality, modeling, and infrastructure. Working across our stack, you’ll explore data sources in BigQuery, develop analytic transformations using dbt, and support downstream data products, which range from dashboards in Looker and features in Commons (our web app) to machine learning models and actuarial reports.
Requirements for the Role:
What We’d Like From You:
Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.