---
title: 'Senior Backend Engineer- Data Platform at Placer.ai'
canonical: 'https://feeny.ai/job/senior-backend-engineer-data-platform-placer-ai-ramat-gan-t9cz2jvf0gy5'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Backend Engineer- Data Platform at Placer.ai

- **Company:** Placer.ai
- **Location:** Ramat Gan, Israel
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-10
- **Apply:** https://placer.ai/company/we-are-hiring/?gh_jid=7893702003

## Job description

## ABOUT PLACER.AI:

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions. What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist. Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started. Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

## SUMMARY:

We are looking for a Senior Backend Engineer to join our Data Export Team. In this role, you will lead the architecture and development of backend microservices that drive our entire distributed export ETL infrastructure. You will build the intelligent service layer responsible for orchestrating, executing, and scaling high-throughput batch and real-time data transformations.

## RESPONSIBILITIES:

- Service Ownership: Own backend microservices end-to-end—from architecture and API design to production deployment, observability, and continuous execution tuning.
- ETL Engine & Performance: Drive performance, throughput, and sub-second reliability across our distributed ETL infrastructure, using data, profiling, and operational metrics to guide architectural decisions.
- Pipeline Infrastructure: Build, orchestrate, and scale high-throughput batch and real-time streaming data pipelines supporting analytics, export workflows, and UI platform integrations.
- Cross-Functional Collaboration: Partner closely with Product, Data Science, Analytics, and cross domain RnD teams to turn complex data movement requirements into seamless backend integrations.
- Technical Excellence: Raise the engineering bar across the team through design reviews, robust code reviews, asynchronous system architecture discussions, and technical mentorship.

## REQUIREMENTS:

- Backend Expertise: 5+ years of backend engineering experience designing, operating, and scaling distributed microservices.
- Data, ETLs & Databases: Hands-on experience architecting data-intensive systems, and high-throughput batch or real-time pipelines. Strong proficiency across diverse database technologies (relational, analytical warehouses like Postgres, Databricks, and Snowflake) with a track record of optimizing complex queries and data storage at scale.
- Engineering Fundamentals: Strong foundation in core system design, data structures, clean API design, automated testing, and production observability (metrics, tracing, logging).
- Cloud & Infrastructure: Excellent proficiency with cloud environments (AWS or GCP) and Infrastructure-as-Code (Terraform) for managing distributed execution environments.
- AI Productivity: Demonstrated use of AI tools to work more efficiently, whether professionally or personally, and a curiosity for finding new ways to apply them. Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and output.
- Education: BSc in Computer Science or equivalent practical experience.

## NICE TO HAVE:

- Python Services & Scripting: Strong proficiency with Python as a core backend language—building clean, modular microservice APIs (using frameworks like FastAPI or Flask), writing asynchronous tasks, and wrapping data processing logic into testable Python packages.
- Distributed Processing with PySpark: Hands-on experience writing PySpark batch and streaming jobs to transform multi-terabyte datasets. Ability to optimize Spark execution plans, handle data skew, manage memory allocation, and minimize expensive shuffle operations across cluster nodes.

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 benefitsFully remote

## NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

- https://techcrunch.com/2022/01/12/placer-ai-a-location-analytics-startup-finds-100m-at-a-1b-valuation/
- See our data in action at[The Anchor](https://www.placer.ai/anchor)
- [Placer.ai in the news](https://www.placer.ai/resources/press/)
- [Video: About Placer for Commercial Real Estate](https://www.youtube.com/watch?v=hCwJVdKq-mo)
- [Video Playlist: Placer Brand & Explainer Videos](https://www.youtube.com/playlist?list=PLVpWfXWcX_ax43WxXX-BII6Ndg8vQ5ced)

Placer.ai is committed to maintaining a [drug-free workplace](http://www.placer.ai/company/we-are-hiring/drug-policy) and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. 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.

## About Placer.ai

## Company Overview
- **One-liner**: Placer.ai provides location intelligence and foot traffic data software that helps businesses in retail, real estate, hospitality, and civic sectors understand offline visitation patterns and consumer behavior.
- **Entity Type**: Private (funding stage: Venture-backed, $301M total funding)
- **Headquarters**: Santa Cruz, California, United States
- **Founded**: 2018
- **Founders**: Noam Ben-Zvi (CEO), Zohar Bar-Yehuda (Data Scientist), Oded Fossfeld (CTO), Ofir Lemel (CPO)

## Core Business
- **Primary industries**: Location analytics, foot traffic data, market intelligence, commercial real estate, retail, hospitality, CPG, economic development
- **Target customers**: B2B – commercial real estate firms, retailers, restaurants, entertainment venues, CPG brands, healthcare organizations, financial institutions, civic/government entities
- **Mission / purpose**: “Making Sense of the Physical World” – empowering organizations to understand what’s really happening in physical locations and optimize decision-making.

## Products & Services
- **Placer.ai Platform**: A SaaS-based location analytics dashboard offering property-level reports, audience insights, trade area analysis, demographic and psychographic data, crime trends, planned development, and competitive benchmarking.
- **API (Placer API / PAPI)**: Programmatic access to foot traffic and location data for integration into custom tech stacks and analytics workflows.
- **Feeds**: Automated data exports for enterprise clients needing recurring, structured location data.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric**: $100M ARR (achieved in 2024) [placer.ai about page](https://www.placer.ai/company/about-us)
- **Total Funding**: $301M across 8 rounds, including a $75M venture round in July 2024 and a $12M Series A in 2020 [LinkedIn](https://www.linkedin.com/company/placer)
- **Notable Investors**: Not publicly listed by name; institutional venture capital firms participated in all rounds.
- **Growth Signals**: Over 4,000 customers; expanded data layers beyond foot traffic (crime, development, demographics); operates in 27 countries and employs 544 people; 16 active job postings with a quarterly increase of 6.7% [LinkedIn](https://www.linkedin.com/company/placer)

## Competitive Advantages
- Proprietary, privacy-preserving data panel with claimed +92% accuracy
- High-cardinality categorization across hundreds of property types and venues
- Near-real time visitation tracking and historical trend analysis
- Broadest industry coverage (retail, CRE, healthcare, finance, civic, entertainment, CPG)
- Strong talent pool from elite Israeli intelligence units (Unit 8200) and top tech companies (Similarweb, CoStar, Salesforce)

## Strategic Focus
- Deepening data layers beyond foot traffic (crime, climate, development, consumer expenditure)
- Expanding into new verticals such as healthcare, finance, and civic planning
- Building GenAI solutions (e.g., Principal Engineer, GenAI Solutions role) to accelerate insight generation
- Continuing to scale self-service platform while serving enterprise clients with custom API and feed integrations

## Why Work Here
- **Culture**: Described as “work with the best in the industry, solve complicated problems, and have fun” [careers page](https://www.placer.ai/company/career). LinkedIn rating: 3.6/5 (238 reviews). Work-Life Balance 3.7, Compensation 3.6, Culture 3.4, Career 3.3.
- **Remote/Hybrid**: Office-first presence in Santa Cruz, Los Altos, Covina (California) and Tel Aviv (Israel). No explicit remote-first policy; many roles likely require some office presence.
- **Engineering & Data Science**: Heavy investment in big data, GenAI, and location intelligence; tech stack includes Python, PostgreSQL, Snowflake, Kubernetes, React, Scala, among others. Talent sourced from elite military tech units and companies like Similarweb, CARTO, and Gong.
- **Benefits**: Healthcare coverage with network rates mentioned; standard startup perks for US and Israel offices.

## Sources
1. [Placer.ai – Company Overview](https://www.placer.ai/)
2. [Placer.ai – About Us / Mission](https://www.placer.ai/company/about-us)
3. [Placer.ai – Careers](https://www.placer.ai/company/career)
4. [Placer.ai – LinkedIn Profile](https://www.linkedin.com/company/placer)

## Other roles at Placer.ai

- [Big Data Engineer](https://feeny.ai/job/big-data-engineer-placer-ai-ramat-gan-e4yq58hffn3h) — Ramat Gan, Israel
- [Backend Engineer - Mobile Platform](https://feeny.ai/job/backend-engineer-mobile-platform-placer-ai-ramat-gan-ygaf8ar82n8h) — Ramat Gan, Israel
- [Head of Pricing Finance](https://feeny.ai/job/head-of-pricing-finance-placer-ai-united-states-6cfz2fsetdeq) — United States
- [Talent Acquisition Partner](https://feeny.ai/job/talent-acquisition-partner-placer-ai-united-states-dfrda9s1j9ne) — United States
- [Talent Acquisition Partner](https://feeny.ai/job/talent-acquisition-partner-placer-ai-austin-vk4zv7jexfbm) — Austin, TX
- [Account Manager](https://feeny.ai/job/account-manager-placer-ai-united-states-4xkgq3gkq4yv) — United States
- [Accounts Receivable Specialist](https://feeny.ai/job/accounts-receivable-specialist-placer-ai-united-states-a4nsgby9bqhr) — United States
- [Senior Devops Engineer](https://feeny.ai/job/senior-devops-engineer-placer-ai-austin-3tq7gm8584pg) — Austin, TX
- [Account Executive](https://feeny.ai/job/account-executive-placer-ai-united-states-pzsw5ch5kh9a) — United States
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-placer-ai-united-states-7bxzvvhfj24r) — United States