Sr. Analytics Engineer (Remote)

Rula • Los Angeles, CA

6d • Remote

About The Position

We are hiring a Senior Analytics Engineer to join our unified, high-velocity Analytics Engineering pod. In this role you will partner with a talented team of engineers to co-own, scale, and optimize the "Transform" layer of our data ecosystem across modern data platforms. This is a core technical engineering role. You will balance deep code execution in SQL and dbt with strong cross-functional stewardship, translating complex business processes into trusted, production-grade data models. The ideal candidate will bring a strategic mindset, excellent code hygiene, and the professional backbone required to manage competing technical priorities while navigating highly regulated data systems.

Requirements

• 4+ years of professional experience in analytics engineering, data engineering, or highly technical data analytics roles.
• Expert-level SQL proficiency and deep data modeling experience, with a proven ability to write performant queries and understand the architectural trade-offs of database design decisions.
• 2+ years of dedicated, hands-on experience building, deploying, and maintaining modular data pipelines using dbt in a production environment.
• Proven experience designing schemas and optimizing query performance on modern cloud data platforms (such as Snowflake, Redshift, or BigQuery).
• Absolute comfort with production git workflows (branching, merging, pull request reviews) and automated data quality testing practices.
• Experience working in a cross-functional role partnering directly with analytics, operations, or business teams, where strong requirement-gathering and the ability to translate complex data structures into clear documentation are crucial.

Nice To Haves

• Prior experience working with HIPAA-compliant data environments, electronic health records (EHR), digital health operations, or similar highly regulated industries.
• Hands-on experience or deep familiarity with Snowflake architectures and running data migrations to Snowflake environments.
• Active experience leveraging AI-assisted development tools (like GitHub Copilot, ChatGPT, Cursor, or Claude Code) to accelerate code generation, decipher legacy warehouse logic, and draft robust dbt test suites.
• Experience with Fivetran or modern ingestion tools to deeply understand upstream data structures and better collaborate with the core data engineering pod.
• A proactive approach to data quality, testing, and alert frameworks (such as dbt test packages) and building practical alerting workflows rather than just waiting for stakeholders to report broken data.
• Experience managing changing business processes or schema drift when underlying logic or systems pivot unexpectedly.
• Basic Python proficiency providing an extra layer of technical agility when collaborating on advanced pipeline orchestration or tooling.

Responsibilities

• Design, build, and optimize modular dbt pipelines and performant technical schemas, setting the team standard for version control, unit testing, and velocity.
• Act as a critical technical bridge between Analytics, Operations, and Data Engineering to transform ambiguous product requirements into robust data assets.
• Diagnose performance bottlenecks to slash query latencies and lower warehouse compute costs across our modern data platforms, specifically aiding our strategic migration toward Snowflake.
• Elevate the entire pod’s engineering culture by participating in rigorous peer code reviews, refactoring legacy technical debt, and enforcing strict data security standards up to the point of delivery.
• Actively mentor and pair with junior peers to unblock complex bugs, optimize engineering workflows, and natively adopt AI-assisted development tools to accelerate test generation and legacy code discovery.

Benefits

• 100% remote work environment
• Attractive pay and benefits
• Full transparency of pay ranges
• Comprehensive health benefits : Medical, dental, vision, life, disability, and FSA/HSA
• 401(k) plan access
• Generous time-off policies : Including 2 company-wide shutdown weeks each year for self-care (for most employees)
• Paid parental leave : Available for all parents, including birthing, non-birthing, adopting, and fostering
• Employee Assistance Program (EAP) : Supporting your mental and physical health
• Quarterly department stipend : Fun team-building activities or in-person gatherings
• Community and employee resource groups
• Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses
• Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed