דרושים » דאטה » Data Engineer - Billing Platform

Experienced Data Engineer? Excellent team player?
Come join a great team to overcome meaningful cyber challenges!
Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.

Our software team is growing, and we are looking for a software data engineer to be entrusted with designing, building, and optimizing large-scale data pipelines in both on-premise and cloud environments.


Your role will encompass the management and storage of binary and tabular data, integration and collaboration with our AI/ML teams and stable large scale ETL pipelines. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.

Responsibilities
Manage and design ETL processes, data cleansing, transformation, and integration.
Work closely with our ML/AI teams.
Apply solid expertise in SQL and other databases to support data operations.
Collaborate with the data team and stakeholders to align on requirements and deliverables.
Manage and set up visualization tools to enable data-driven decision making.
Monitor and maintain logging frameworks such as Grafana, Prometheus, Kibana, and Elasti.

We're looking for a Product Manager to own all of data export products end-to-end. This is a hands-on role with high customer exposure: you'll work directly with enterprise clients to understand their data access needs, partner closely with internal stakeholders across the organization, and ship improvements across multiple product surfaces in parallel. If you thrive on juggling priorities, communicating clearly across audiences, and turning customer feedback into shipped products, this role is for you.
What you'll do:
Own all of data export products throughout their lifecycles, from discovery and definition through delivery, adoption, and iteration
Partner directly with enterprise customers and internal stakeholders to understand data export pain points and translate them into clear requirements
Prioritize effectively across multiple product surfaces and competing stakeholder needs
Drive cross-functional alignment with engineering and business teams to deliver high-quality features on time
Define and communicate product roadmap, trade-offs, and decisions clearly, both to internal teams and customer-facing audiences
Continuously improve usability, reliability, and documentation based on customer feedback and usage data
Strengthen and expand data export products as the foundation for customers' AI and advanced analytics initiatives by ensuring we deliver the right data, in the right format, at the right cadence

Were expanding our Data & AI group and looking for a passionate, experienced Senior Data & AI Engineerto join our mission. This is a unique opportunity to work at the intersection of data engineering, LLMpowered systems, agentic workflows, and cybersecurity innovation

What youll work on
Data Infrastructure & EngineeringDesign, build, and scale production-grade data pipelines using Databricks, Spark, and modern cloud-nativetechnologies. Ensure high standards of data integrity, system performance, reliability, and scalability.
Core Backend & PlatformDesign and contribute to scalable backend services and platform capabilities using microservices andevent-driven architectures. Build reliable APIs, integrations, and asynchronous data flows that support highscale AI, data, and cybersecurity use cases.
LLM & Agentic SystemsDesign, prototype, and integrate LLM-powered systems, including Retrieval-Augmented Generationpipelines, agentic workflows, tool-using agents, multi-step reasoning flows, and AI-driven automation. Workwith technologies such as AWS Bedrock, OpenAI, Anthropic, LangGraph, vector databases, and modernorchestration frameworks.
AI-Assisted Engineering & Developer ProductivityExplore and apply advanced AI coding assistants and software-engineering agents, such as Codex andClaude Code, to improve development velocity, code quality, debugging, testing, and experimentation.Build proof-of-concepts and internal tools that help engineering and research teams work more effectivelywith AI-powered development workflows.
Intelligent Cybersecurity FeaturesCollaborate with Security Researchers, Engineers, and Product teams to identify opportunities forintelligent, data-driven features that deliver actionable cybersecurity insights to customers. Transformcomplex cybersecurity and platform data into reliable, explainable, and useful AI-powered capabilities.

Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to integrate data from diverse sources, optimizing for performance and cost efficiency.
Leverage Databricks and other modern data platforms to manage, transform, and process data
Collaborate with software teams to understand data needs and ensure data solutions meet business requirements.
Optimize data processing workflows for performance and scalability.

we are looking for an experienced Data Center Operations Engineer to join our IT department. In this role, you will maintain and support a large-scale global server and GPU infrastructure, monitor and troubleshoot hardware failures, and collaborate with senior system specialists to resolve complex issues across production and research environments.
We offer a dynamic, innovative production and research environment and expect a strong commitment to maintaining high service availability, performance, and reliability.
Responsibilities :
Deploy (rack and cable) new servers, GPUs, and infrastructure hardware.
Monitor and troubleshoot IT infrastructure hardware issues across all company data centers.
Coordinate vendor engineers site visits.
Perform hardware break/fix activities including replacement of drives, RAM, CPUs, GPUs, power supplies, and other server components.
Maintain firmware versions up to date.
Manage company data center inventory.
Monitor and manage DC environment parameters including power usage, airflow, cooling, and rack capacity.
Support and keep hardware in an high-performance compute environments used for compute-intensive workloads and research activities.