Senior Data Engineer

🕒 il y a 1 mois

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

ClubReady, LLC

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2009

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

ClubReady, LLC est un fournisseur SaaS de logiciels et services de gestion pour les clubs, studios et salles de sport, destiné aux opérateurs de fitness et de bien-être. Fondée en 2009, l'entreprise propose une suite complète incluant l'expérience des membres et la gestion du personnel, la gestion des prospects et des ventes, la facturation et les paiements, la génération de rapports et l'analyse, des applications mobiles personnalisées, le suivi des performances, des services de conciergerie, ainsi que des outils de gestion pour les franchises et les entreprises, afin d'aider les studios à emplacement unique, les opérateurs multi-sites et les franchiseurs à développer et rationaliser leurs opérations.

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

🎯 Exigences

• 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)

🏖️ Avantages

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