Data Engineer II - Scale Payouts & Analytics (Remote)

Splice; Northern (KY); Hybrid; USD 95,000 - 119,000; Full time

Benefits offered by this job

Unlimited PTO

Health, dental, vision coverage

401(k) with company match

Parental leave

Remote work options

Job summary

Splice is seeking a Data Engineer II to join our Data Engineering team to scale the platform powering creator payouts, revenue reporting, and product analytics. You will build and maintain pipelines, data models, and dashboards, delivering reliable data for finance, product, and growth teams.

You will own features end-to-end from design through delivery, contribute to on-call rotations, and help reduce technical debt while improving performance and cost management in BigQuery-based pipelines.

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 (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 (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.

Responsibilities

• Build data models and incrementals in SQLMesh with testing and documentation.
• Evolve orchestration and transformation infrastructure as the platform scales.
• Modernize legacy pipeline jobs in Python and SQLMesh to reduce technical debt.
• Participate in on-call rotation and troubleshoot ETL incidents with robust observability.

Skills

SQL

Python

SQLMesh/dbt

BigQuery

Dagster/Airflow/Prefect

Observability

Feature ownership

Tools

SQLMesh

dbt

BigQuery

Dagster

Airflow

Prefect

Job description

Splice is seeking a Data Engineer II to join our Data Engineering team to scale the platform powering creator payouts, revenue reporting, and product analytics. You will build and maintain pipelines, data models, and dashboards, delivering reliable data for finance, product, and growth teams.

You will own features end-to-end from design through delivery, contribute to on-call rotations, and help reduce technical debt while improving performance and cost management in BigQuery-based pipelines.