Remote Data Engineer II — Scalable Pipelines & Analytics

Logoslabs; San Francisco (CA); Remote; USD 95,000 - 119,000; Full time

Benefits offered by this job

Equity

Unlimited PTO

Healthcare

401(k)

Parental leave

Flexible work

Learning budget

Community events

Job summary

Splice is a creative platform for music producers. We are seeking 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.

Qualifications

• 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.
• Experience with a modern transformation framework — SQLMesh, dbt, or equivalent.
• Production experience with a cloud data warehouse (BigQuery).
• Experience with at least one workflow orchestrator (Dagster, Airflow, Prefect).
• 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

• 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.

Skills

SQL

Python

SQLMesh

BigQuery

Dagster

Observability

Pipelines

Tools

dbt

Dagster

Job description

Splice is a creative platform for music producers. We are seeking 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.