Data Engineer

Who you are

• The work requires hands-on data engineering experience. Our stack; BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective contribution requires domain expertise in data pipeline systems, not general software engineering background
• 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

What the job involves

• We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting, and product analytics across Splice's product lines
• Data Engineering builds and maintains the reliable foundation that makes trusted data possible, enabling teams across Splice to work from a governed, consistent source of truth
• We are accountable for the warehouse and pipeline foundation; ingestion, transformations, and the standards and quality guardrails that keep data consistent, timely, and usable
• This is a mid-level, high-ownership role: engineers here carry features from technical design through delivery, monitoring, and documentation, and participate in our on-call rotation
• 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
• 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
• 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
• 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

• Time Off: Unlimited PTO to recharge and thrive
• Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents
• Retirement Savings: 401(k) plan with immediate vesting and company match
• Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents
• Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide
• Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities
• Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups