Senior Backend Engineer – Data Platform

🔥 17 minutes ago

🇮🇱 Israel – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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Placer.ai

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

💼 Consulting

📣 Marketing

🏨 Hospitality

Consulting • Marketing • Hospitality

Placer. ai is a location analytics company that provides businesses with insights into foot traffic and consumer behavior based on physical world location data. Their platform utilizes location information to help retail, real estate, and city planning industries make informed decisions. The company leverages big data and advanced analytics to transform location data into actionable intelligence, driving improvements in marketing effectiveness, site selection, and operational efficiency.

📋 Description

• Lead the architecture and development of backend microservices for the distributed export ETL infrastructure • Own microservices end-to-end, including architecture, API design, production deployment, observability, and execution tuning • Drive ETL performance, throughput, and sub-second reliability using profiling and operational metrics • Build, orchestrate, and scale high-throughput batch and real-time streaming data pipelines • Support analytics, export workflows, and UI platform integrations • Collaborate with Product, Data Science, Analytics, and cross-domain R&D teams • Conduct design reviews, code reviews, asynchronous architecture discussions, and technical mentorship

🎯 Requirements

• 5+ years of backend engineering experience designing, operating, and scaling distributed microservices • Hands-on experience architecting data-intensive systems and high-throughput batch or real-time pipelines • Strong proficiency with relational and analytical database technologies, including Postgres, Databricks, and Snowflake • Experience optimizing complex queries and data storage at scale • Strong foundation in system design, data structures, clean API design, automated testing, and production observability • Excellent proficiency with AWS or GCP • Experience with Infrastructure-as-Code using Terraform • Demonstrated use of AI tools and comfort integrating generative AI into daily workflows • BSc in Computer Science or equivalent practical experience • Nice to have: strong Python proficiency, including FastAPI or Flask, asynchronous tasks, and testable Python packages • Nice to have: hands-on PySpark experience with batch and streaming jobs, Spark optimization, data skew, memory allocation, and shuffle reduction

🏖️ Benefits

• Competitive salary • Excellent benefits • Fully remote • Opportunity to take a central and critical role at Placer.ai • Work with and learn from top-notch talent

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