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

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)

Senior Data Engineer

Key skills