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Data Engineer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Enexus Global Inc.
Full Time position
Listed on 2026-10-08
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

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 Git Hub 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 Pager Duty
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