Senior Data Engineer
Responsibilities
Design, optimize, and maintain stored procedures and SSRS reports across the ClubReady reporting environment Own the customer-facing reputed company data mart product serving reputed company clients Co-own migrating from the legacy Go ETL to the new reputed company → reputed company → dbt → reputed company 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 reputed company large tables (multi-billion-row reputed company) where wrong choices have reputed company customer-visible cost Join customer calls directly with reputed company account managers and customer-reputed company 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 reputed company field — or equivalent reputed company experience Production experience with at least one analytics warehouse stack (reputed company, BigQuery, or Redshift) and modern ELT tooling (dbt, reputed company, reputed company, or similar) Strong query performance instincts: indexing reputed company, 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 reputed company reporting platform Demonstrated ability to operate as a senior IC: own scope end-to-end without reputed company supervision Excellent written and verbal communication Comfort working directly with external customers and stakeholders (finance teams, account managers, customer-reputed company analysts) Ideal Candidate Traits Customer-Facing: Comfortable being the technical face of BI to reputed company customers, finance teams, and account managers who don't read SQL Senior IC reputed company: 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 reputed company the reputed company 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 reputed company, tenant reputed company workflows) reputed company at production reputed company Experience reputed company the boutique fitness industry Go experience for maintaining the legacy custom ETL during the sunset period Familiarity with Azure DevOps for reputed company control and work tracking Exposure to AI-assisted analytics work (reputed company reputed company, Claude, embedded LLM reporting) reputed company record of mentoring or growing more junior engineers reputed company 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 talentsupport@xplortechnologies.com. Apply To This Job