Senior Analytics Engineer

Rula

Senior Analytics Engineer building and optimizing data pipelines for analytics at Rula. Collaborating with cross-functional teams to enhance performance and data quality.

Posted 7/16/2026full-timeRemote • Hawaii • 🇺🇸 United StatesSenior💰 $163,710 - $192,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Modeling and Architecture, with a strong focus on building and optimizing modular dbt pipelines and performant schemas. Proficient in SQL and experienced in cross-functional collaboration to translate complex requirements into actionable data solutions.

Highest-signal resume keywords

Expert-Level SQL ProficiencyModular Data Pipeline Development Using dbtSchema Design and Query Performance OptimizationProduction Git WorkflowsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLDbtQuery Performance OptimizationData Pipeline DevelopmentAutomated Data Quality TestingDatabase DesignVersion ControlTechnical DocumentationData Security Standards

Soft Skills

MentoringCollaborationProblem-SolvingCommunication

Tools & Technologies

SnowflakeRedshiftBigQueryAI-Assisted Development Tools

Industry Keywords

Analytics EngineeringData EngineeringTechnical Data AnalyticsCross-Functional Roles

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudSQL

About the role

Key responsibilities & impact

Data Modeling & Architecture: Design, build, and optimize modular dbt pipelines and performant technical schemas, setting the team standard for version control, unit testing, and velocity.
Cross-Functional Translation: Act as a critical technical bridge between Analytics, Operations, and Data Engineering to transform ambiguous product requirements into robust data assets.
Platform Optimization: Diagnose performance bottlenecks to slash query latencies and lower warehouse compute costs across our modern data platforms, specifically aiding our strategic migration toward Snowflake.
Team Stewardship: 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.
Culture Multiplier: 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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)
Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
401(k) plan access: Start saving for your future
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: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all
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