Staff Data Platform Engineer – Analytics & Visualization

Rippling (Netherlands); New York (NY); On-site; USD 189,000 - 315,000; Full time

Benefits offered by this job

Equity

In-office work policy

Competitive salary + benefits

Job summary

Rippling is building an end-to-end analytics and business intelligence system for customers, replacing data lakes and pipelines. We design ingestion, transformation, catalogs, and visualization with an eye toward automated insights and ML-driven copilots.

The Data Cloud team seeks engineers to own products, APIs, and data platforms; collaborate across teams to deliver scalable solutions and contribute to data-driven decision making.

Qualifications

• 8+ years of experience in software development.
• Solid understanding of CS fundamentals, architectures, and design patterns.
• Proven track record building large-scale applications, APIs, and developer tools.
• Excellent cross-functional collaboration with non-technical partners.
• Bonus: contributions to open-source projects (Iceberg, Parquet, Spark, Hive, Flink, Delta Lake, Presto, Trino, Avro).

Responsibilities

• Develop high-quality software with attention to detail using stacks like Python, Trino, Iceberg, Temporal.
• Create data visualization and query processing products used at large scale.
• Build data platforms, data lakes, and ingestion systems that scale.
• Own one or more products, APIs or platform spaces.
• Grow engineering skills across challenging areas and solve hard problems.
• Influence architecture and tech decisions across the company.

Skills

Software development

APIs

Cross-functional collaboration

Data platforms

Tools

Apache Iceberg

Apache Parquet

Spark

Trino

Airflow

Job description

Rippling is building an end-to-end analytics and business intelligence system for customers, replacing data lakes and pipelines. We design ingestion, transformation, catalogs, and visualization with an eye toward automated insights and ML-driven copilots.

The Data Cloud team seeks engineers to own products, APIs, and data platforms; collaborate across teams to deliver scalable solutions and contribute to data-driven decision making.