
Senior Data Engineer
Posted May 2

Posted May 2
• Design, develop, and sustain scalable ETL/ELT pipelines and data warehouse architecture using BigQuery. Take ownership of the infrastructure from start to finish and continually enhance it as the business expands.
• Define and execute data models and dbt transformations that are clean, thoroughly tested, and built for longevity, adhering to strong standards for CI/CD, code review, and documentation.
• Ensure the quality and reliability of data across all systems through validation, monitoring, anomaly detection, and comprehensive data contracts and lineage documentation.
• Collaborate with Data Analytics, Finance, Product, Marketing, and Engineering teams to provide clean, accessible data for decision-making. Simplify complex technical concepts for non-technical stakeholders.
• Lead projects from initial scoping through to delivery, setting high standards for the team's engineering practices.
• 5+ years of experience in data engineering, preferably within a high-growth SaaS or consumer tech company, with a proven history of managing production-grade pipelines and data warehouse solutions.
• Proficient in Python and SQL.
• Extensive experience with dbt on BigQuery (or similar platforms).
• Strong practices in Git and CI/CD.
• Familiar with GCP and orchestration tools such as Airflow or Fivetran.
• Solid understanding of data warehousing principles, including dimensional modeling, ETL/ELT design, query optimization, and data quality frameworks.
• Strong knowledge of building data models for AI (we utilize Claude).
• Excellent communicator capable of leading projects, mentoring colleagues, and collaborating cross-functionally without requiring constant guidance.
• Self-motivated and ownership-driven; comfortable making decisions amidst ambiguity in a fast-paced environment.
• Comprehensive health, vision, and dental coverage.
• HSA/FSA options.
• 401(k) retirement planning with employer matching.
• Unlimited paid time off.
• Annual company holidays.
• Additional recharge days off for the company.
• 12 weeks of parental leave for eligible employees.
• Company-sponsored Wagmo pet wellness and insurance plans.
• Regular company-wide events and team gatherings.
SmartLight Analytics
CloudSmiths
BPCS, Comprehensive marketing solutions, ltd.
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