Business Intelligence Engineer
Career Movement
A PE-backed marketplace management firm in West Palm Beach is adding a BI Engineer to their
lean engineering team. This company manages Amazon channel strategy for some of the largest
brands on the platform and runs a fact-based, data-driven operation that depends on clean,
fast data. The role spans the full data lifecycle: data ingestion, pipeline orchestration, warehouse
modeling in Redshift, and Power BI dashboard delivery. Roughly half the time involves direct
stakeholder interaction -- gathering requirements from internal business teams and translating
them into data products. Some work with external clients is also involved. This is a high-ownership role on a small team. The right candidate has worked the full stack
from raw source to finished dashboard and holds themselves to a high standard without needing
close oversight. What you bring:
\- 4+ years in BI, analytics engineering, or data engineering
\- Strong SQL -- complex queries, schema design, performance tuning
\- Power BI dashboard development and data model ownership
\- Cloud data warehouse experience (Redshift or comparable)
\- Dimensional modeling and database design
\- Power Query for analyst-facing data prep Nice to have:
\- dbt or comparable SQL transformation tooling
\- Airflow or Airbyte (or comparable ETL and orchestration)
\- Python for data tasks
\- Amazon marketplace or e-commerce data experience
lean engineering team. This company manages Amazon channel strategy for some of the largest
brands on the platform and runs a fact-based, data-driven operation that depends on clean,
fast data. The role spans the full data lifecycle: data ingestion, pipeline orchestration, warehouse
modeling in Redshift, and Power BI dashboard delivery. Roughly half the time involves direct
stakeholder interaction -- gathering requirements from internal business teams and translating
them into data products. Some work with external clients is also involved. This is a high-ownership role on a small team. The right candidate has worked the full stack
from raw source to finished dashboard and holds themselves to a high standard without needing
close oversight. What you bring:
\- 4+ years in BI, analytics engineering, or data engineering
\- Strong SQL -- complex queries, schema design, performance tuning
\- Power BI dashboard development and data model ownership
\- Cloud data warehouse experience (Redshift or comparable)
\- Dimensional modeling and database design
\- Power Query for analyst-facing data prep Nice to have:
\- dbt or comparable SQL transformation tooling
\- Airflow or Airbyte (or comparable ETL and orchestration)
\- Python for data tasks
\- Amazon marketplace or e-commerce data experience
Vacancy posted 3 days ago
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