Data Engineer
Otter.ai is hiring a Data Engineer in Mountain View, United States. It pays $155k-$230k a year and Level rates it ; you can apply on Otter.ai.
Level's read on this job
- On Level's scale, this data engineer role is Uses AI ●●○○: an ordinary role that requires AI tools.
- Pay on this posting starts in line with the typical data engineer posting on Level.
- The posting mentions Databricks among its tools and skills.
- Level classes it as a mid-level role.
- Otter.ai has 19 other open roles on Level.
AI in this role
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.
#LI-Hybrid
How we rate this
Data Engineer at Otter.ai rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- This job starts at
- $155k
- Typical data engineer job
- $150k
This posting starts close to the typical data engineer job. See data engineer jobs
Questions you could be asked
- What's a project where you used Databricks hands-on?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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