Senior Data Engineer

🔥 7 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ClubReady, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

☁️ SaaS

🤝 B2B

🧘 Wellness

SaaS • B2B • Wellness

ClubReady, LLC is a SaaS provider of club, studio, and gym management software and services for fitness and wellness operators. Founded in 2009, it offers a full suite including member experience and staff management, lead and sales management, billing and payments, reporting and analytics, custom-branded mobile apps, performance tracking, concierge services, and franchise and corporate management tools to help single-location studios, multi-unit operators, and franchisors scale and streamline operations.

📋 Description

• Design, optimize, and maintain stored procedures and SSRS reports across the ClubReady reporting environment • Own the customer-facing Postgres data mart product serving enterprise clients • Co-own migrating from the legacy Go ETL to the new Fivetran → Snowflake → dbt → Postgres pipeline, partnering with the central data team • Serve as technical domain expert for assisting data mart customers • Triage and resolve customer-reported data discrepancies • Author Azure DevOps work items, review pull requests, and operate inside two-week sprints • Maintain the internal data dictionary and the external data documentation • Tune queries and indexes against very large tables (multi-billion-row scale) where wrong choices have real customer-visible cost • Join customer calls directly with enterprise account managers and customer-side data analysts to scope and deliver work

🎯 Requirements

• 5+ years of data engineering or BI development experience with deep T-SQL and SQL Server in a transactional, customer-facing environment • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field — or equivalent professional experience • Production experience with at least one analytics warehouse stack ( Snowflake, BigQuery, or Redshift ) and modern ELT tooling ( dbt, Fivetran, Airbyte, or similar ) • Strong query performance instincts: indexing strategy, execution plans, statistics, partitioning, and rewrite patterns for legacy procs • Proficiency in SQL and at least one scripting language (Python preferred) • Experience with SSRS or another enterprise reporting platform • Demonstrated ability to operate as a senior IC: own scope end-to-end without close supervision • Excellent written and verbal communication • Comfort working directly with external customers and stakeholders (finance teams, account managers, customer-side analysts)

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options