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Remote role at a well-funded startup with broad data+frontend requirements and metro candidate pool increases competition.
Core data engineering skills (ETL, SQL, Python, BI) are broadly transferable across industries.
Explicit 7-11 years plus mandatory Python, SQL, data warehouse and ReactJS requirements increase filtering strictness.
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Design and implement scalable data models and pipelines to unify data from multiple sources for analysis and reporting.
Serve as the technical expert and guide for data engineering practices, including governance, code reviews, and access control.
Collaborate with internal and external stakeholders to enhance analytics products supporting business decisions and customer outcomes.
Bachelor's degree in Computer Science or equivalent work experience.
7-11 years of experience building ETL/ELT pipelines from scratch.
Strong skills in SQL, Python, PostgreSQL, and cloud services (AWS RDS preferred).
Experience developing BI/data visualization platforms and basic knowledge of data warehouses (Amazon Redshift, BigQuery, Snowflake).
Experienced in large-scale data engineering within fast-paced, startup-like environments.
Capable of independently delivering complex projects and influencing cross-team data strategy.
Skilled in modern backend (Python/FastAPI) and frontend (ReactJS, TypeScript) technologies to build and integrate data applications.