Splice - Data Engineer II
Requirements
• 3+ years of hands-on data engineering experience in a production environment • Proficiency in SQL — window functions, CTEs, query optimization, execution plan analysis • Proficiency in Python for pipeline logic, data transformation, and testing (maintainable code, not just scripts) • Experience with a modern transformation framework — SQLMesh, dbt, or equivalent — including incremental models, testing, and documentation • Production experience with a cloud data warehouse (we use BigQuery); understands partitioning, clustering, and cost management • Experience with at least one workflow orchestrator (Dagster, Airflow, Prefect, or equivalent) • Demonstrated ability to build observable, reliable data systems — alerting, dashboards, and data quality checks • Comfortable owning small-to-medium features from technical design through delivery with limited guidance
Responsibilities
• Pipeline Development & Transformation • Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation • Continuously improve and evolve our orchestration and transformation infrastructure as the platform scales • Modernize legacy pipeline jobs in Python and SQLMesh, reducing technical debt over time • Reliability & Observability • Participate in on-call rotation; triage and resolve incidents including ETL failures, data unavailability, and core metric breakage • Build introspectable software: define alert thresholds, emit metrics and logs, produce dashboards, and establish closed-loop escalation paths • Improve observability across the platform so failures are caught early and resolved quickly • Finance & Revenue Pipelines • Extend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting across Splice's product lines • Build pipeline support for new revenue streams as Splice launches them • Platform Quality & Optimization • Improve query performance and reduce compute costs in BigQuery • Contribute to ingestion platform work and product analytics infrastructure • Uphold our definition of done: validation complete, documentation updated, monitoring in place before closing a ticket
Benefits
• Compensation & Equity: Competitive pay with annual reviews and equity opportunities. • Time Off: Unlimited PTO to recharge and thrive. • Time Off: • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents. • Health & Wellness: • Retirement Savings: 401(k) plan with immediate vesting and company match. • Retirement Savings: • Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents. • Parental Support: • Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide. • Flexible Work Options: • Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities. • Professional Growth: • The national pay range for this role is $94,952 - $118,690. Individual compensation will be commensurate with the candidate's experience.
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