Senior Software Engineer – Data Platform

🔥 0 minutes ago

🇮🇱 Israel – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Voyantis

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Seed Round on 2022-07

Consulting • Marketing • Artificial Intelligence

Voyantis is a company specializing in predictive models to optimize ad spending and enhance customer acquisition. They provide a platform for Value-Based Bidding with a focus on predictive lifetime value (LTV) models, allowing companies to attract high-value customers through AI-driven insights on platforms like Google and Meta. Voyantis processes anonymized data to deliver customized prediction models, enabling companies to enhance their marketing strategies by foreseeing customer value and behavior. Their solutions help businesses increase return on ad spend, customer retention, and overall profitability.

📋 Description

• Design and implement scalable, production-grade data pipelines and microservices that ingest, transform, and move high-volume data from diverse customer sources • Build and maintain high-performance backend services and APIs interfacing with the data ecosystem, ensuring reliability, low latency, and security • Develop and evolve platform infrastructure including data warehouse, orchestration, and compute systems • Identify opportunities to automate recurring workflows and turn ad-hoc needs into robust, self-serve platform capabilities • Collaborate with data scientists, analysts, and engineers across R&D to translate requirements into platform features • Drive code quality through design reviews, code reviews, and engineering best practices • Leverage AI tools from scoping and design through implementation and debugging

🎯 Requirements

• 5+ years building production backend services in Python / Go / Node • Strong software engineering fundamentals — design patterns, testing, CI/CD, microservices architecture • Experience designing and operating distributed systems in cloud environments (AWS) • Deep understanding of data — modeling, pipelines, ETL/ELT processes, and query optimization • Experience with modern data warehouses such as Snowflake / Databricks and orchestration tools such as Airflow / dbt • Strong SQL skills and experience working with large-scale datasets • Proven ability to take ownership end-to-end: from gathering requirements and designing solutions to deployment and production support • Hands-on experience using AI coding tools (Cursor, Claude Code, or similar) as a core part of the engineering workflow • Proactive by nature with a strong sense of ownership and internal drive for excellence • Excellent written and verbal communication skills; high English proficiency • Bachelor's degree in Computer Science, Engineering, or equivalent experience

🏖️ Benefits

• AI tools used throughout the engineering cycle to deliver faster, higher-quality outcomes • Remote/hybrid work arrangement (as indicated in the posting)