Staff Engineer – Personalization & Recommendations (Remote)

Jobgether; Germany (OH); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

100% remote work

Health benefits

401(k) plan for eligible U.S.employees

Stock options

Generous paid holiday schedule

Unlimited and flexible vacation time

Paid parental leave

Opportunity to work on large-scale

Job summary

Jobgether is seeking a Staff Engineer - Recommendations to design and scale data-driven personalization for a distributed platform. You will work across data engineering, backend systems, and ML-enabled applications to turn behavioral signals into meaningful user experiences.

You will partner with data scientists, product managers, and engineers to build scalable data pipelines, APIs, and storage systems, while advancing personalization from heuristics to data-backed models in a fully remote

Qualifications

• 3+ years of professional software engineering experience focused on data engineering, backend systems, or scalable SaaS.
• Proven experience designing, building, and optimizing production-grade ETL/ELT data pipelines.
• Strong SQL skills, including database optimization for analytical workloads and high-throughput real-time access.
• Hands-on experience with big data technologies such as Spark, Kafka, Hadoop, or Beam.

Responsibilities

• Design, develop, maintain, and optimize scalable data pipelines, backend services, and APIs supporting recommendations and content discovery.
• Build data models and schemas for analytical workloads and real-time personalization.
• Collaborate with data scientists, product managers, and engineers to capture and process data for product experiences.
• Develop and maintain large-scale data processing workflows using Spark and Kafka.
• Evolve recommendation capabilities toward data-backed personalization models.
• Contribute to backend architecture including REST and WebSocket APIs, caching, queues, and cloud orchestration.
• Transform high-volume platform data into reliable datasets and signals for ML and personalization.

Skills

Data Engineering

Backend Systems

Distributed Systems

SQL

Python

JavaScript/Node.js

Machine Learning

REST APIs

WebSocket APIs

Spark

Kafka

Big Data

Cloud AWS/GCP

ETL/ELT

Collaboration

Communication

Content Discovery

Tools

Spark

Kafka

Hadoop

Beam

AWS

Google Cloud

MongoDB

Redis

Elasticsearch

Job description

Jobgether is seeking a Staff Engineer - Recommendations to design and scale data-driven personalization for a distributed platform. You will work across data engineering, backend systems, and ML-enabled applications to turn behavioral signals into meaningful user experiences.

You will partner with data scientists, product managers, and engineers to build scalable data pipelines, APIs, and storage systems, while advancing personalization from heuristics to data-backed models in a fully remote