Opportunity Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Data Engineer

otterai Open · verified Oct 24, 2026
Mountain View Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at otterai. Mountain View · $155,000–$230,000 base.

SalaryStated by otterai
$155,000 – $230,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SeniorityMid-level
LocationMountain View
Base pay$155,000–$230,000
PostedAug 13, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build core data models that support self-serve analysis and define important business measures
  • Design and run dependable data pipelines and platforms, scaling them as needs grow
  • Turn stakeholder requests into dependable data products, working across business and engineering teams
  • Set standards for production data collection and logging, and improve modeling, quality, and governance practices
  • Add quality checks, statistical tests, and anomaly detection while raising data reliability and literacy

What you bring

  • At least two years working in data engineering
  • A computer science bachelor's degree or equivalent practical experience
  • Strong Python and SQL skills, with hands-on ownership of code and projects
  • Experience building ETL or ELT pipelines, modeling data for analysis, and using cloud warehouses or workflow orchestration tools

Who this fits

This role suits a hands-on mid-level engineer who can lead data projects through delivery and guide teams on reliable data practices. The position is based in Mountain View, California. The stated base salary range is $155,000 to $230,000 per year.

From the employer

The Opportunity

We are looking for a 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 2+ 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

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: $155,000 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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$150k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.