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Senior Data Engineer, Data Platform
Senior Data Engineer, Data PlatformOtter.ai • Mountain View, California, USA
Senior Data Engineer, Data Platform

Senior Data Engineer, Data Platform

Otter.ai • Mountain View, California, USA
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [job_card.permanent]
[job_card.job_description]

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 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

Were Looking for Someone Who

  • Has 5 years of experience in data engineering
  • Has a Bachelors 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

    We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

    With over 1B meetings is the worlds 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.

    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

    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 at least 3 business days before your interview.

  • 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 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 : $185000 to $230000 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.

    Required Experience :

    Senior IC

    Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 185000 - 230000

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