Data Engineer - Attribute™

About DoiT

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state — from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

About Attribute™

Meet Attribute™: AI tokenomics without tags, SDKs, or code changes. A lightweight eBPF sensor installs in 15 minutes and starts producing per-customer, per-feature, and per-agent cost the same day. No instrumentation. No tagging policy. No engineering lift.

The Opportunity

Attribute technology and services are heavily based on eBPF technology on the Attribute sensor side and extensive ETL and data processing on the Backend (based on GCP). In order to meet the increasing challenges of the growing business, we are seeking an experienced engineer who will be working closely with our product on one hand and with the Frontend team on the other, and will be responsible for development of new capabilities as well as operational aspects of services you develop.

Note: This role is based fully on-site from the Attribute Tel Aviv office (Carlibach St 29, Tel Aviv).

Responsibilities

• Co-own the roadmap and backlog: Own parts of the product backlog, collaborate on defining and scoping future vision of the product roadmap.
• Implementing features: From the proposal through spec and implementation to maintenance. Propose additions to the products.
• Reviewing code: Participate in regular code reviews and pull request evaluations.
• Improving the health of the codebase: Mindful of accumulating technical debt, with one dedicated day per week for housekeeping.
• Providing feedback: Plan and discuss upcoming work, providing constructive feedback to identify challenges and unknowns early.

Qualifications

• 3+ years of hands-on experience in data engineering, backend engineering, or a similar field.
• 2+ years of practical experience with Python, Spark, and PySpark.
• Experience building ETL processes and working with big-data technologies such as Pub/Sub.
• Familiarity with Terraform and CI/CD methodologies.
• Experience building or operating data pipelines in a SaaS production cloud environment.
• Versatile developer who learns new tools and technologies quickly, uses AI effectively, and applies sound engineering judgment.
• Strong collaborator and independent contributor with excellent communication skills.
• Growth-minded, pragmatic problem solver who simplifies complexity and iterates quickly from MVPs using data and feedback.

Bonus Points

• BA/BS degree or equivalent practical experience.
• Experience with C++ or C#.
• Familiarity with Google Cloud Platform.