Placer.ai

Senior Big Data Engineer

Scala Terraform Kafka GCP Spark Python Pandas
This job is closed! Check out or
Description

ABOUT PLACER.AI:

Placer.ai is a fast-growing big data startup led by seasoned executives and repeat entrepreneurs who are building the world's first "Google Analytics for the physical world." Placer.ai’s platform provides instant visibility into any property in the U.S., presenting accurate details about visitation patterns and demographic breakdowns of visitors. Placer.ai’s customers can see where visitors have been before, where they go afterwards, where they typically go for sports, entertainment, groceries, etc., and what their interests are. Placer.ai's A.I.-based SaaS platform replaces archaic solutions such as manual surveys, installed cameras and other people-counting systems, creating a blue ocean market of more than $100B. 

Placer.ai has grown 3x year-over-year for the past 3 years, counting more than 1000 paying customers across a range of industries, including 2 of the world’s top-10 retailers, 2 of the top-10 CPG firms worldwide, a world’s top hospitality firm, 2 of the world’s top-10 commercial real estate (CRE) firms and 2 of the world’s top multinational asset managers and hedge funds. Placer.ai has just raised $100M for Unicorn ($1B+) valuation in Series C funding.

Summary

We are looking for a senior big data engineer who is eager to build big data pipelines.

 This person will take the existing architecture and pave the way in pursuing and materializing our vision. Passion is a MUST and passion for data even more so!

If you are someone who thrives outside their comfort zone, your place is at Placer.ai.

Responsibilities 

  • Play a central role in building complex and large scale systems that powers Placer.ai’s platform
  • Work closely with product and other groups to out-perform the market
  • Measure, analyze and improve the performance, scalability and robustness of the product and processes
  • Carry tasks end-to-end, from design to deployment, and take full ownership
  • Assist team members to excel at their job by code and design reviews, and technical guidance
  • Collaborate with Analysts and Data science teams in order to improve the product’s quality and deliver new features
  • Build and evolve the ingestion and data infrastructure.

Requirements 

  • BSc degree in Computer Science or an equivalent
  • 5+ years of professional backend/data engineering experience
  • Developing complex large scale data pipelines with Spark
  • Strong coding skills and a “get-things-done” approach
  • Willingness and patience to share your wisdom & experience as well as being open to learn from others
  • Experience with large scale production systems
  • Experience working with a cloud provider 
  • Familiarity with fast delivery-based approach - built over CI/CD with extensive automation (“fail fast, find fast and fix fast”)

Nice to have:

  • 2+ years of experience working in Python, Pandas, Scala
  • Experience with Terraform
  • Knowledge with tools like: Kafka, Airflow
  • Experience working with GCP

WHY JOIN PLACER.AI? 

  • Join a rocketship! We are pioneers of a new market that we are creating
  • Take a central and critical role at Placer.ai
  • Work with, and learn from, top-notch talent
  • Competitive salary
  • Excellent benefits

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

Placer.ai is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.

Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

#LI-AC1

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

50,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 166 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers