Senior Data Engineer

Xplor Technologies powers the experiences at the heart of everyday life, helping businesses in various service-based industries simplify operations and elevate customer experiences. The Senior Data Engineer will design and maintain reporting systems, manage data products, and collaborate with teams to enhance data-driven decision-making.

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)
• 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