Senior Data Engineer

Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness, recreation, golf and club, field services, laundry, education, and other membership-based and service-based industries simplify operations, uncover insights, and elevate customer and member experiences. We unite popular brands such as Clubessential, ClubReady, foreUP , myFitApp , Vermont Systems , Momence , Exerp , and many more. About ClubReady ClubReady is the operating platform for boutique fitness — running point-of-sale, scheduling, billing, and member management for thousands of studios across enterprise brands. We sit inside Xplor's Fitness Boutique group alongside Mariana Tek, Moments, and Member, supporting one of the largest portfolios of franchise fitness operators in the world. Business Intelligence at ClubReady owns the data layer that powers operator decisions: SSRS reports inside the app, the customer-facing data mart product (direct database access for enterprise clients), the iKizmet analytics platform, and an AI reporting layer. Responsibilities 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) Ideal Candidate Traits Customer-Facing: Comfortable being the technical face of BI to enterprise customers, finance teams, and account managers who don't read SQL Senior IC Mindset: Owns scope end-to-end — writes their own work items, pushes their own PRs, defends their own estimates Performance-Instinctive: Reads execution plans, indexes, and statistics fluently; debugs why a 5-second proc went to 5 minutes without flailing Pragmatic: Comfortable maintaining legacy systems while migrating to new ones; doesn't insist on rebuilds when the runway doesn't support it Accountable/Responsible: Takes initiative on a small team where the customer surface is much larger than the engineering headcount Preferred Qualifications Ideal candidates possess: Experience supporting a multi-tenant data product (per-customer schemas, row-level security, tenant onboarding workflows) Postgres at production scale Experience within the boutique fitness industry Go experience for maintaining the legacy custom ETL during the sunset period Familiarity with Azure DevOps for source control and work tracking Exposure to AI-assisted analytics work (Snowflake Cortex, Claude, embedded LLM reporting) Track record of mentoring or growing more junior engineers Ready to apply? To start your application, please submit your resume, and we will be in touch as soon as we can. Got questions? You can email us at [email protected] .