Staff Data Engineer
2 days ago
🏡 Remote – Anywhere in California
Description
• Continuous improvement mindset and mentorship for your engineering team • Partner closely with product managers, data scientists and analysts, and engineering colleagues to distill complex business problems into efficient technical solutions • Craft the engineering vision and own the data models and toolchain for our data platform • Develop and iterate on data models optimized for the data team’s consumers use cases • Build and support robust batch and streaming pipelines • Build tools and processes to make data accessible across products and data consumers • Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure • Become a subject matter expert on our different datasets and tooling • Work with privacy & security to ensure we govern data responsibly • Support and advocate for a data platform appropriate to our evolving business profile
Requirements
• 8+ years of experience in data engineering • You have experience driving technical projects, prioritizing work, identifying dependencies, facilitating technical decisions and cross-functional team discussions • Depth of expertise in SQL and data analysis skills • System design, data modeling and data workflow optimization • Coding in Python or other languages • Experience with ETL orchestration tools like Apache Airflow and Dagster • Data transformation tools like dbt or dataform • Experience with data warehouse DBs (such as BigQuery, Redshift, Snowflake, etc…) • Experience designing and implementing systems that are scalable, available, maintainable, and performant
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