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Data Engineer

Enexus GlobalCA🇺🇸United StatesPosted 26 Aug 2026

Why This Role Stands Out

This hybrid Data Engineer role at Enexus Global offers a fantastic opportunity to shape impactful search and experimentation platforms using cutting-edge data technologies. You'll thrive here if you possess strong programming and big data skills, enjoy collaborating in a global team, and are eager to drive innovation in a dynamic environment. Apply today to contribute to a reputable company and advance your career!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
CA, United States
Posted
22 hours ago
SQLScalaAWSGrafanaHiveJavaPagerDutyPython

Job Description

Data Engineer
The Difference You Will Make
We are looking for Data Engineers who are passionate about making a difference through their work. You will collaborate in a global, cross-functional environment and lead through influence and partnership to turn ideas into production-ready systems. In this role, you will help develop and evolve search and experimentation platforms, prototype solutions, and adopt advanced data technologies.
Required Experience
  • 3 5 years of hands-on experience in a software engineering role, shipping high-quality code to production
  • Experience building or supporting high-scale, distributed systems, data pipelines, and/or analytical libraries
Technical Expertise
Programming & Data Engineering
  • Proficiency in Java, Scala, and Python (at least one required; others preferred)
  • Strong SQL expertise, with the ability to go deep when debugging or optimizing queries
  • Proficiency with SQL-based analytics and big data technologies, including:
    • Hive
    • Presto/Trino
    • Spark
  • Deep, hands-on experience with at least one modern big data processing framework (e.g., Spark, Dataflow)
Nice to Have
  • Knowledge of cloud platforms, such as:
    • AWS services (e.g., S3, EMR), or equivalent offerings from other cloud providers
  • Experience with scientific or statistical computation, especially related to online experimentation
  • Experience with feature stores, such as Chronon
  • Familiarity with AI coding assistants such as Claude Code and GitHub Copilot
Sample Projects & Areas of Impact
Data Pipelines & Evaluation Systems
  • Counterfactual evaluation:
    • Support ad hoc metrics analysis
    • Support pipeline debugging
    • Support pipeline data migration
  • Offline counterfactual scoring support pipeline migration
  • Search simulator support pipeline migration
  • Offline interaction detection support pipeline migration
Monitoring, Quality & Reliability
  • Holdout:
    • Implement comprehensive monitoring for traffic and models
  • Clean up old data pipelines and deprecated tables, with appropriate testing
  • Set up dashboards and monitoring for new and existing applications
  • Set up alerting for new and existing applications using Grafana and PagerDuty

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