Data Engineer
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Responsibilities
• Develop and maintain data pipelines supporting product analytics, evaluation, and visualization needs • Support data collection from multiple product sources, ensuring data consistency, completeness, and quality • Build and maintain datasets for AI evaluation—handling data extraction, cleaning, transformation, and anonymization • Develop dashboards and analytical reports that help teams monitor product metrics and AI performance • Collaborate with product, engineering, and research teams to align data structures with evolving analysis goals • Skills, Qualifications and Experience We Look for • 3–5 years of experience in data engineering, analytics engineering, or similar role. • Strong proficiency in SQL and one of Python/Go/Scala for data processing • Hands-on experience with ETL/ELT frameworks and data orchestration tools (e.g., Airflow, Prefect, Dagster) • Familiarity with modern data warehouses (BigQuery, Snowflake, Redshift) and visualization tools (e.g., Tableau, Looker, Superset) • Solid understanding of data modeling, schema design, and data governance best practices
Benefits
• Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think. • Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years. • Define the next-gen paradigm for human-AI interaction. • Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion. • Work with passionate teammates who value innovation, collaboration, and customer success. • Grow your career in a culture that champions continuous learning and fast career development. • Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.