Data Engineer – Build Production-Grade Data Pipelines

Enexus Global Inc.; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Enexus Global Inc. is seeking Data Engineers who can turn ideas into production-ready systems. You will collaborate in a global, cross-functional environment to evolve search and experimentation platforms and prototype solutions.

You will contribute to data pipelines, evaluation systems, and monitoring, while leveraging modern big data technologies such as Hive, Presto/Trino, Spark, and Dataflow. Strong programming in Java/Scala/Python and SQL proficiency are required.

Qualifications

• 3–5 years of hands-on experience in a software engineering role, shipping production code.
• Experience building or supporting high-scale, distributed systems, data pipelines, and analytical libraries.
• Proficiency with SQL-based analytics and big data technologies including Hive, Presto/Trino, Spark.
• Hands-on experience with at least one modern big data processing framework (e.g., Spark, Dataflow)

Responsibilities

• Data Pipelines & Evaluation Systems: implement and maintain counterfactual evaluation, support metrics analysis, debugging, and migration tasks.
• Monitoring, Quality & Reliability: build comprehensive monitoring, dashboards, and alerting for traffic and models; ensure data pipelines are reliable.
• Collaborate across teams to evolve search and experimentation platforms and deploy production-ready data solutions.

Skills

Java

Scala

Python

SQL

Tools

Hive

Presto/Trino

Spark

Dataflow

Job description

Enexus Global Inc. is seeking Data Engineers who can turn ideas into production-ready systems. You will collaborate in a global, cross-functional environment to evolve search and experimentation platforms and prototype solutions.

You will contribute to data pipelines, evaluation systems, and monitoring, while leveraging modern big data technologies such as Hive, Presto/Trino, Spark, and Dataflow. Strong programming in Java/Scala/Python and SQL proficiency are required.