BI Engineer: Shape Trusted Data & Dashboards

Socket.dev; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

100% paid employee health benefit

401(k) match

Unlimited Vacation

Commuter Benefits

Paid parental leave

Catered lunch on Fridays

Wellness stipend

Job summary

Courier Health is seeking a data‑driven BI lead to own the internal BI layer, develop robust dbt models and SQL transformations, and deliver trusted dashboards for clients and teams.

You will collaborate with cross‑functional stakeholders to define metrics and requirements, ensure data quality, and shape a consistent semantic layer across the platform. This role demands curiosity, learning, and hands‑on ownership.

Qualifications

• 3-5 years of professional experience in business intelligence, analytics engineering, or data engineering.
• Strong SQL: readable, performant, relational data modeling.
• BI tool experience with dashboards/reports in Sigma, Looker, Tableau, or Mode.
• Data transformations (dbt) in production environments.
• Stakeholder instincts to translate needs into dashboards.
• Eagerness to learn and grow as an engineer.

Responsibilities

• Own our BI layer: design, build, and maintain Sigma dashboards and workbooks for embedded reporting and analytics.
• Build the models underneath: develop dbt models and SQL transformations with tests for reliable datasets.
• Partner with stakeholders to scope reporting needs, define metrics, and translate questions into dashboards.
• Shape our semantic layer: maintain consistent metrics and naming conventions across dashboards.
• Improve pipeline reliability: monitor pipelines, investigate data issues, and add quality checks upstream.

Skills

SQL

Analytics

Stakeholder empathy

Data modeling

Learning mindset

Tools

dbt

Sigma

Looker

Tableau

Mode

Job description

Courier Health is seeking a data‑driven BI lead to own the internal BI layer, develop robust dbt models and SQL transformations, and deliver trusted dashboards for clients and teams.

You will collaborate with cross‑functional stakeholders to define metrics and requirements, ensure data quality, and shape a consistent semantic layer across the platform. This role demands curiosity, learning, and hands‑on ownership.