Responsibilities
- Own and maintain Brightline’s modern data platform, ensuring data integrity, scalability, and security across all systems.
- Monitor and improve the performance of our Snowflake data warehouse, Stitch ingestion layer, dbt transformation layer, and Tableau analytics layer.
- Build data pipelines / APIs to connect across data systems and enable new business capabilities.
- Implement best practices in data engineering, including CI/CD workflows, data testing, and documentation.
- Foster a culture of best engineering practices with the rest of the data team.
- Reduce un-needed complexity and implement solutions to minimize snowflake storage and consumption costs.
- Unlock new data platform capabilities, and enable more powerful analytics across the business.
- Design and implement scalable dbt models and ELT pipelines that serve analytics, reporting, and potential AI/ML use cases.
- Partner with analysts and stakeholders to define and deliver trusted, business-ready data sets.
- Implement best data materialization strategies that are fast and cost-effective.
- Design Tableau dashboards, including for administrative management of the data platform.
- Collaborate across technical and non-technical teams to deliver high-impact data solutions.
- Translate business questions into engineering requirements and ensure data availability aligns with strategic needs.
Requirements
- 5+ years of experience in data engineering or a similar role, with a strong track record of building and maintaining modern data infrastructure.
- Experience supporting analytics across multiple business departments.
- Data platform expert, knowledgeable of data engineering and security considerations.
- Expert-level proficiency in SQL and data warehousing using Snowflake.
- Deep experience with dbt for data modeling, testing, and documentation.
- Deep experience with Tableau Server, ideally as an administrator.
- Deep experience with version control (Github) and CI/CD practices.
- Some experience with Python and APIs.
- Ability to design efficient data systems that meet real-world business needs.
- Comfortable working in ambiguous or evolving business contexts and providing data clarity.
- Strong ability to communicate with both technical and business audiences.
- Skilled at breaking down complex systems and communicating architecture, trade-offs, and outcomes.
- Commitment to improving behavioral health care and supporting families in accessing affordable, high-quality care.
Nice to Have
- Experience with tools such as Segment, Amplitude, or Iterable
- Marketing analytics and technology experience
- An interest in front-end data analytics and dashboard development in Tableau
- Familiarity with AI/ML engineering practices
Benefits
- Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k
- 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave
- Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement
- Stock Options
