Remote Data Engineer II - Payouts & Analytics

Splice Bio; United States; Remote; USD 95,000 - 119,000; Full time

Benefits offered by this job

Equity opportunities

Unlimited PTO

Health coverage

401(k) with match

Parental leave

Remote work options

Learning budget

Team events

Job summary

Splice is seeking a Data Engineer II to join the Data Engineering team and scale the platform powering payouts, revenue reporting and product analytics. You will own data pipelines end-to-end, ensuring a governed, reliable source of truth from ingestion to dashboards.

The role emphasizes building observable systems, reducing data issues, and collaborating across teams on on-call incidents. This remote US role offers flexible work options and growth opportunities.

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 — including incremental models, testing, and documentation.
• Production experience with a cloud data warehouse (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.

Skills

SQL

Python

Data modeling

Observability

Tools

SQLMesh

dbt

Dagster

Airflow

BigQuery

Job description

Splice is seeking a Data Engineer II to join the Data Engineering team and scale the platform powering payouts, revenue reporting and product analytics. You will own data pipelines end-to-end, ensuring a governed, reliable source of truth from ingestion to dashboards.

The role emphasizes building observable systems, reducing data issues, and collaborating across teams on on-call incidents. This remote US role offers flexible work options and growth opportunities.