Remote Data Engineer II — Scale Pipelines & Analytics

Splice; Oregon; Hybrid; USD 95,000 - 119,000; Full time

Benefits offered by this job

Unlimited PTO

Medical, dental, vision coverage

401(k) plan with match

Parental leave

Job summary

Splice in the US is seeking a Data Engineer II to join its Data Engineering team and scale the platform powering payouts, revenue reporting, and product analytics. You’ll own pipeline features from design to delivery, developing in SQLMesh, Python, and BigQuery.

You’ll work on reliability, observability, and cost optimization, participate in on-call rotations, and help expand revenue pipelines while maintaining quality guardrails and comprehensive documentation.

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

• Pipeline Development & Transformation: Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation
• Reliability & Observability: Participate in on-call rotation; triage incidents; define alert thresholds and dashboards
• Finance & Revenue Pipelines: Extend and maintain pipelines powering payouts and GAAP revenue reporting
• Platform Quality & Optimization: Improve query performance and reduce compute costs in BigQuery

Skills

SQL

Python

BigQuery

Dagster

Data modeling

Tools

Dagster

Airflow

Prefect

Job description

Splice in the US is seeking a Data Engineer II to join its Data Engineering team and scale the platform powering payouts, revenue reporting, and product analytics. You’ll own pipeline features from design to delivery, developing in SQLMesh, Python, and BigQuery.

You’ll work on reliability, observability, and cost optimization, participate in on-call rotations, and help expand revenue pipelines while maintaining quality guardrails and comprehensive documentation.