Senior Data Engineer

The Opportunity We are looking for a Senior Data Engineer to join our Data Platform team and build the core data foundations that power analytics, experimentation, and decision-making across the company. In this role, you will design and own foundational data models, pipelines, and platforms that enable self-serve analytics and trustworthy insights at scale. You will partner closely with Growth, Product, Sales, Marketing, Data Insights, and Engineering teams as a technical thought leader who helps teams extract meaningful value from data. This is a high-ownership role in a growing company, and you will have a direct impact on how data is collected, modeled, and used to drive the business forward. Your Impact Build and own foundational data models that enable self-serve analytics and key business metrics Design, operate, and scale reliable data pipelines and platforms Partner with stakeholders to translate business needs into trusted data products Influence data collection and logging standards across production systems Establish best practices for data modeling, quality, and governance Implement data quality checks, statistical validation, and anomaly detection Provide technical leadership that improves data reliability and data literacy We’re Looking for Someone Who Has 5+ years of experience in data engineering Has a Bachelor's degree in Computer Science or equivalent experience Is highly hands-on, actively contributing code and driving projects to completion. Has strong programming skills in Python and SQL Has expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks Has experience building and maintaining ETL/ELT pipelines Is experienced with workflow orchestration (e.g., Airflow, dbt) Has strong data modeling skills and understands how to design for analytical workloads Has experience with cloud platforms (preferably AWS) Has worked in fast-paced tech, AI or SaaS environments Nice to Haves Experience with data governance, data catalogs, and data quality frameworks Familiarity with BI or data visualization tools Experience with experimentation or A/B testing frameworks Exposure to ML pipelines, feature engineering, or applied data science Experience with streaming or near-real-time data systems About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed,  Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace.  We provide reasonable accommodations for qualified applicants throughout the hiring process.   Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process.  If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $230,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package. #LI-Hybrid