BI Engineer: Dashboards, dbt Models & Data Quality

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

Benefits offered by this job

Health benefits

401(k) with match

Unlimited vacation

Commuter benefits

Paid parental leave

Catered lunch on Fridays

Wellness stipend

Job summary

Courier Health is seeking a BI/Analytics Engineer to own our BI layer and data models. You will design, build, and maintain Sigma dashboards and related datasets to empower internal teams and clients with trusted insights.

You’ll develop dbt models, work with stakeholders to define metrics, and ensure data quality across reporting layers. Ideal candidates bring 3–5 years in BI or data engineering, strong SQL and data modeling, and production dbt experience.

Qualifications

• 3–5 years of professional experience in BI, analytics engineering or data engineering.
• Strong SQL skills with readable, efficient queries and solid data modeling.
• Experience building dashboards in Sigma/Looker/Tableau/Mode used by stakeholders.
• Experience developing production dbt data transformations.
• Able to translate stakeholder needs into clear, reliable dashboards.
• Eager to learn and grow as an engineer.

Responsibilities

• Own BI layer: design, build, and maintain Sigma dashboards and workbooks for embedded reporting.
• Develop underlying models: dbt models and SQL transformations with tests.
• Collaborate with internal teams and partners to scope reporting needs and metrics.
• Define a consistent semantic/metrics layer so numbers align across apps.
• Improve pipeline reliability by monitoring, diagnosing data issues, and adding quality checks.

Skills

SQL

Relational modeling

dbt

Analytics engineering

Stakeholder management

Tools

Sigma

Looker

Tableau

Mode

dbt

Job description

Courier Health is seeking a BI/Analytics Engineer to own our BI layer and data models. You will design, build, and maintain Sigma dashboards and related datasets to empower internal teams and clients with trusted insights.

You’ll develop dbt models, work with stakeholders to define metrics, and ensure data quality across reporting layers. Ideal candidates bring 3–5 years in BI or data engineering, strong SQL and data modeling, and production dbt experience.