
Senior Data Engineer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in California.
• Design, enhance, and manage stored procedures and SSRS reports throughout the ClubReady reporting ecosystem.
• Take ownership of the customer-facing Postgres data mart product catering to enterprise clients.
• Co-lead the transition from the legacy Go ETL to the updated Fivetran → Snowflake → dbt → Postgres pipeline, collaborating with the central data team.
• Act as a technical domain authority for supporting data mart customers.
• Diagnose and resolve data discrepancies reported by customers.
• Create Azure DevOps work items, review pull requests, and function within two-week sprints.
• Update and maintain the internal data dictionary as well as the external data documentation.
• Optimize queries and indexes on very large tables (multi-billion-row scale) where poor choices can lead to significant customer-visible costs.
• Participate in customer calls alongside enterprise account managers and customer-side data analysts to define and deliver projects.
• Over 5 years of experience in data engineering or BI development with extensive knowledge of T-SQL and SQL Server in a transactional, customer-facing setting.
• A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field — or equivalent professional experience.
• Hands-on experience with at least one analytics warehouse stack (Snowflake, BigQuery, or Redshift) and modern ELT tools (dbt, Fivetran, Airbyte, or similar).
• Strong instincts for query performance: indexing strategies, execution plans, statistics, partitioning, and rewrite patterns for legacy procedures.
• Proficiency in SQL and at least one scripting language (Python preferred).
• Experience with SSRS or other enterprise reporting platforms.
• Proven ability to function as a senior individual contributor: manage scope from start to finish with minimal supervision.
• Exceptional written and verbal communication skills.
• Comfort in working directly with external customers and stakeholders, including finance teams, account managers, and customer-side analysts.
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
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