Senior Data Engineer
Otter AIMountain View, CA$185k – $230kPosted 24 February 2026
Job Description
<p><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong>The Opportunity</strong></span></p>
<p><span style="font-size: 10pt;">We are looking for a <strong>Senior Data Engineer</strong> 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.</span></p>
<p><span style="font-size: 10pt;">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.</span></p>
<h4><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong>Your Impact</strong></span></h4>
<ul>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Build and own foundational data models that enable self-serve analytics and key business metrics</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Design, operate, and scale reliable data pipelines and platforms</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Partner with stakeholders to translate business needs into trusted data products</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Influence data collection and logging standards across production systems</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Establish best practices for data modeling, quality, and governance</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Implement data quality checks, statistical validation, and anomaly detection</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Provide technical leadership that improves data reliability and data literacy</span></li>
</ul>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong>We’re Looking for Someone Who</strong></span></p>
<ul>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Has 5+ years of experience in data engineering</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Has a Bachelor's degree in Computer Science or equivalent experience</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Is highly hands-on, actively contributing code and driving projects to completion.<br></span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Has strong programming skills in Python and SQL</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Has expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Has experience building and maintaining ETL/ELT pipelines</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Is experienced with workflow orchestration (e.g., Airflow, dbt)</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Has strong data modeling skills and understands how to design for analytical workloads</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Has experience with cloud platforms (preferably AWS)</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Has worked in fast-paced tech, AI or SaaS environments</span></li>
</ul>
<h4><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><strong>Nice to Haves</strong></span></h4>
<ul>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with data governance, data catalogs, and data quality frameworks</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with BI or data visualization tools</span></ ... (truncated, view full listing at source)
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