Senior Data Lakehouse Engineer (Kotlin/Beam) – Hybrid

ZoomInfo Technologies LLC

Bethesda (MD)

Hybrid

USD 112,000 - 176,000

Full time

4 days ago
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Benefits offered by this job

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Job summary

ZoomInfo is seeking a Software Engineer III to join the Analytical Data team, building and running data pipelines and managing Iceberg-backed datasets. You’ll work across Kotlin, Python and Java, with production-grade streaming and batch processing.

You’ll collaborate with data producers and consumers, ensuring data freshness, quality, and observability, while contributing to platform roadmaps and governance.

Qualifications

  • 3+ years of professional software engineering experience in data engineering or distributed systems.
  • Strong programming skills in Kotlin, Java, or Python; work across Kotlin and Python.
  • Hands-on experience with Apache Beam or Apache Spark in production.
  • Experience with Apache Kafka or a similar streaming platform in production pipelines.
  • Experience with very large datasets and distributed systems design.

Responsibilities

  • Build and run Kotlin and Apache Beam pipelines on Google Cloud Dataflow.
  • Keep large Iceberg tables correct, fast, and cost-efficient with partitioning and maintenance jobs.
  • Make datasets queryable from BigQuery, Snowflake, and Starburst/Trino via Iceberg catalogs.
  • Collaborate with producer teams on schemas and data contracts.
  • Develop observability with Datadog dashboards and monitors.
  • Own pipelines in production from incident response to fixes.
  • Ship through CI/CD and Terraform-managed infrastructure across GCP and AWS.
  • Collaborate daily with data consumers and platform teams to shape the roadmap.

Skills

Kotlin
Java
Python
Kafka
BigQuery

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Beam
Apache Spark
Terraform
Airflow

Job description

ZoomInfo is seeking a Software Engineer III to join the Analytical Data team, building and running data pipelines and managing Iceberg-backed datasets. You’ll work across Kotlin, Python and Java, with production-grade streaming and batch processing.

You’ll collaborate with data producers and consumers, ensuring data freshness, quality, and observability, while contributing to platform roadmaps and governance.

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