At Coconut Software, we’re not just building data pipelines, we’re architecting the source of truth that powers the future of financial connections. As a Senior Analytics Engineer, you will be the glue between our technical data infrastructure and our business outcomes. While your primary focus is building a world-class modeling layer in dbt and Looker, you are equally comfortable putting on your Data Analyst hat to help stakeholders uncover the "why" behind the numbers. Your role extends beyond technical modeling; you will be a mentor, a guide, and an advocate for data best practices. You’ll help foster an inclusive, psychologically safe environment where data professionals can do their best work. By proactively improving our data modeling standards and strengthening cross-functional collaboration, you will ensure our team delivers high-quality, actionable insights that meet both user needs and business goals. Roles in our Engineering department are expected to contribute to our collaborative on-call rotation, working with your team to support our systems and ensuring application availability/reliability. Each team will have their own rotation schedule. The company is currently in an exciting phase of growth, migrating its entire data estate from legacy Postgres and Redshift environments to a modern Databricks Lakehouse. The stack is built for scale: Databricks for storage and compute, dbt for transformation and semantic layer, and Looker (LookML) for business intelligence. The team works in an agile, iterative way, and tries to continuously improve and implement what works for them, operating in a blameless culture with a continuous improvement mindset.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
11-50 employees