> Markdown version of [/jobs/ext/1204762-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/1204762-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** ClubReady, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Franchise - **Skills:** Query Performance, Artificial Intelligence, ARM Architecture, Microsoft Azure, Business Intelligence Development, BigQuery, Information Systems, Data Dictionary, Information Engineering, Extract Transform Load (ETL), Data Mart, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Standard Sql, SQL Stored Procedures, SQL Databases, SQL Server Reporting Services, Transact-SQL, Scripting, Large Language Models, Snowflake, Information Technology, Software Version Control, Legacy Systems - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c79a5532e656fa04 ## About the Role * 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), * 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 Qualifications Ideal 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 ## Description * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)