Senior Analytics Engineer
Remote (United States)
Bamboo Health
Delivering actionable insights on patients' physical, behavioral and social health. Empowering healthcare professionals to provide better experiences and care.- Develop and maintain scalable and robust data pipelines using DBT for data transformation, ensuring high data quality and efficiency.
- Collaborate with application engineers, data scientists, analysts, and stakeholders to understand data requirements and implement analytics solutions that support data-driven decision-making in healthcare.
- Design, build, and manage the data warehouse schema, optimizing for performance, scalability, and reliability.
- Implement best practices for data modeling, testing, and documentation within the DBT framework.
- Ensure compliance with healthcare data regulations and standards, including HIPAA, ensuring the security and privacy of patient data.
- Monitor, troubleshoot, and optimize data systems and performance, addressing any issues promptly.
- Stay abreast of industry trends, technologies, and best practices in analytics engineering and healthcare data management.
- Learned Bamboo Health’s products and the healthcare problems our products are designed to address.
- Become a data domain expert in one of our product verticals.
- Taken ownership of a data domain and created a DBT process to populate an analytic datastores.
- Working from a prioritized schedule to create additional datasets that can leverage the power of data products to enable rapid analysis and visualization.
- Begin taking ownership of another data domain.
- Establish integrated relationship with application development teams and be the bridge between product development needs and customer requirements.
- Maintain the data models so that are current and continue to meet stakeholder needs.
- Build a library of analytic data products for downstream use by visualization technology and data engineering.
- Bachelor’s Degree in a related field or professional experience in data analysis with a strong interest in business problems for healthcare.
- 5 years of professional work experience in data analytics.
- Basic DBT skills with an ability to learn from your teammates to become advanced. SQL experience required.
- 1 year of strong demonstrated ability to maintain ETL solutions, ideally using Python
- Hands on experience utilizing databases on Redshift, PostgreSQL, MySQL or Oracle relational database systems.
- Experience with software maintenance and/or development using Python, Ruby or other modern scripting languages.
- Baseline proficiency, or a strong interest, in visualizing data through Power BI, Tableau, Excel pivot tables.
- A high level of judgment, analytical ability and creativity in investigating problems that require original and innovative solutions.
- Experience working a fast-paced, rapidly changing work environments.
- A work environment that is conducive to high quality virtual interactions. This includes but is not limited to being able to work from a quiet space with minimal interruptions or distractions, and a strong internet connection.
- The ability to travel periodically for work.
What You Get:
- Join one of the most innovative healthcare technology companies in the country.
- Have the autonomy to build something with an enthusiastically supportive team.
- Learn from working at the highest levels and on the most strategic priorities of the company, including from world class investors and advisors.
- Receive competitive compensation, including equity, with health, dental, vision and other benefits.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Data analysis Data Analytics Data management Data pipelines Data quality Data warehouse dbt Engineering ETL Excel Healthcare technology MySQL Oracle Pipelines PostgreSQL Power BI Privacy Python RDBMS Redshift Ruby Security SQL Tableau Testing Travel
Perks/benefits: Competitive pay Equity / stock options Health care
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