Build and expand the data platform using cutting edge technologies for the cloud data stack.
Design and implement efficient data models to power analytics and core product workflows.
Collaborate with stakeholders to translate business and product needs into product features.
Identify new opportunities to use data in transformative ways across product, data science, and business teams.

Requirements

3+ years of experience in software engineering, with a focus on data infrastructure or large-scale data systems.
Proficiency in Python and familiarity with technologies like Kafka, Snowflake, ClickHouse, Airflow and Apache Flink.
Experience designing and implementing scalable ETL pipelines and working with structured and unstructured data.
Strong understanding of data modeling, including schema design and performance optimization for analytical and operational use cases.
Excellent communication and collaboration skills, with experience working cross-functionally with product, data science, and operational teams.
A passion for leveraging data to drive innovation.

Benefits

medical
dental
vision
3% 401(k) contribution
unlimited PTO
quarterly mental health days
family planning benefits
professional development stipend
wellness benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondata infrastructurelarge-scale data systemsETL pipelinesdata modelingschema designperformance optimizationstructured dataunstructured datadata analytics

Soft Skills

communicationcollaborationcross-functional teamworkinnovation