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Tech Stack
Tools & technologiesAirflowApacheCloudETLKafkaPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- medical
- dental
- vision
- 3% 401(k) contribution
- unlimited PTO
- quarterly mental health days
- family planning benefits
- professional development stipend
- wellness benefits
ATS Keywords
✓ Tailor your resumeApplicant 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