over 1 year ago
New York, NY, USAMid Level / Senior
Base Salary
$170k - $250k/yr
Responsibilities
- Build and maintain core data models for internal analytics and client-facing insights.
- Design and operate pipelines that transform raw data into clean, analytics-ready tables.
- Create dashboards and reporting tools for product, operations, and go-to-market decision-making.
- Define and enforce consistent business KPI and product usage metrics across teams.
- Improve and scale the analytics stack using tools such as GCP BigQuery, Dataform, Fivetran, Postgres, and dashboarding platforms.
- Collaborate with cross-functional stakeholders to translate data needs into reliable systems.
- Contribute to data documentation, education, code quality standards, and analytics engineering practices.
Requirements
- 3–6 years of experience in data engineering, analytics engineering, or technical data analysis with production ownership.
- Expert-level SQL and comfort with code-first workflows involving versioning, testing, and documentation.
- Experience designing data models for usability, performance, and long-term maintainability.
- Familiarity with modern data-stack tools including dbt, Fivetran, Airflow, GCP, AWS, Snowflake, and Metabase or equivalents.
- Strong written and verbal communication skills.
- Demonstrated ability to move quickly, find efficient solutions, and deliver against ambitious goals.
- The listed qualifications are ideal rather than individually mandatory, and candidates who do not meet every requirement are encouraged to apply.
Benefits
- All full-time roles are in person in New York, with the team working from the SoHo office.
- Competitive compensation and meaningful equity are provided for full-time employees; no specific salary figures are stated.
- Fully covered medical, vision, and dental insurance.
- Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
- Unlimited paid time off and 16 weeks of parental leave.
- 401(k), FSA option, commuter benefits, and DashPass.
- Lunch at the office every day and dinner at the office after 6:30 p.m.
Tech Stack
Categories
Data Engineering
About Forus
Forus builds an AI-powered healthcare network and software that connects physicians, pharmacies, insurers, and biopharma to speed therapies to patients. It sells enterprise platforms and data services that coordinate prescribing, benefits, and clinical workflows across stakeholders. Privately held and based in New York, the company is backed by Thrive Capital, General Catalyst, and Accel.