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 1 Snowflake 1 dbt 1 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 QualificationsIdeal 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.
