Senior Data Engineer

Summary

Join Brightline as a Senior Data Engineer and leverage your dbt expertise to build and maintain our modern data platform. You will design, build, and maintain robust data pipelines and infrastructure, collaborating with data analysts and stakeholders. Responsibilities include owning and maintaining the data platform, ensuring data integrity and scalability, and building data pipelines. You will also design dbt models and ELT pipelines, partner with analysts to deliver trusted data sets, and collaborate across teams to deliver data solutions. The ideal candidate possesses expert-level SQL and Snowflake proficiency, deep dbt experience, and 5+ years of data engineering experience in a startup setting. Brightline offers a competitive salary, comprehensive benefits, and opportunities for professional development.

Requirements

• Expert-level proficiency in SQL and data warehousing using Snowflake
• Deep experience with dbt for data modeling, testing, and documentation
• Experience in a startup setting
• 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
• 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

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

Preferred Qualifications

• 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