Analytics Engineer

at Perplexity AI
📍 San Francisco, United States
USD 200,000-270,000 per year
MIDDLE
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 3 Python @ 3 SQL @ 3 Looker @ 3 dbt @ 3 Data Engineering @ 5 BI @ 3 Databricks @ 2 Reporting @ 3 Snowflake @ 3 Compliance @ 3

Details

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from investors including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, and Samsung. The company’s mission is to build accurate, trustworthy AI that powers decision-making and assistive AI where decisions are being made. Perplexity serves more than 780 million queries every month.

Perplexity is headquartered in San Francisco and operates on a hybrid schedule with in-office days on Monday, Wednesday, and Friday.

Responsibilities

  • Design and build core data models to improve analysis efficiency and enable rapid, reliable insights across teams.
  • Define and champion data modeling standards and best practices using tools like dbt.
  • Boost data team productivity by improving tooling, automating workflows, and streamlining processes.
  • Own decisions on tooling selection, balancing build vs. buy and managing vendor relationships when necessary.
  • Partner closely with Data Scientists to ensure analytics requirements are clearly understood and effectively implemented.
  • Develop and maintain critical dashboards and reporting to track business health and enable better decision-making.
  • Lead data governance efforts, ensuring security, compliance, and data quality standards are consistently met.

Requirements

  • 4+ years of professional experience as an analytics engineer, data engineer, data scientist, or a closely related role.
  • Expert-level SQL skills.
  • Experience in data modeling, including dimensional modeling and analytics engineering best practices.
  • Experience creating high-impact dashboards and visualizations using BI tools (examples noted: Omni, Mode, Hex, Looker, or similar).
  • Prior experience in fast-paced, rapidly scaling environments.
  • Comfortable working autonomously and taking projects from concept through execution with minimal oversight.

Bonus

  • Experience with dbt.
  • Comfortable with Python.
  • Experience with Snowflake administration and optimization.
  • Familiarity or experience with Databricks.
  • Previous experience as an early or first analytics engineer in a high-growth startup.

Compensation

  • Cash compensation range: $200,000 - $270,000 (final offer determined by factors such as experience and expertise).
  • Equity may be part of the total compensation package.

Benefits

  • Comprehensive health, dental, and vision insurance for employees and dependents.
  • 401(k) plan.