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Senior Business Intelligence Engineer
The Motley FoolSenior Business Intelligence Engineer at The Motley Fool improving data infrastructure. Collaborating with data and product teams to deliver high-impact insights.
Tech Stack
Tools & technologiesAirflowBigQueryCloudETLPythonSQLTableau
About the role
Key responsibilities & impact- Serve as a senior BI partner for the Product team
- Collaborate and consult directly with business teams
- Design, build, and maintain scalable data pipelines and transformation layers
- Develop and maintain data marts and self-serve tooling
- Partner with analysts and product managers to support A/B testing frameworks
- Monitor data pipeline health by identifying data quality issues
- Work closely with data governance and data engineering
- Apply ML engineering practices to productionize predictive models
- Champion engineering best practices including peer code reviews
Requirements
What you’ll need- 7+ years of experience in data science, analytics engineering, or business intelligence engineering
- Advanced proficiency in SQL
- Deep expertise in data transformation frameworks such as dbt
- Strong experience with cloud data warehouses (e.g. Snowflake, BigQuery)
- Experience building and maintaining ELT/ETL pipelines using tools like Airflow, Prefect, dbt, or similar
- Proficiency in Python for data pipeline development
- Experience with BI and visualization tooling such as ThoughtSpot, Tableau, Looker, or Power BI
- Experience with Git-based workflows, CI/CD for data pipelines, and Jira
- Excellent communication and translation skills
- Education: Bachelor's degree, preferably in computer science, data science, engineering, statistics, or a related field.
Benefits
Comp & perks- Health insurance
- 401(k)
- Remote work options
- Flexible work hours
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceanalytics engineeringbusiness intelligence engineeringSQLdata transformation frameworkscloud data warehousesELT pipelinesETL pipelinesPythonA/B testing
Soft Skills
communication skillscollaborationconsultationdata quality monitoringengineering best practicespeer code reviews