Senior Data Engineer - Lakehouse & Pipelines

ZoomInfo Technologies LLC

Bethesda, Vancouver, Waltham (MD, WA, MA)

Híbrido

USD 112.000 - 176.000

Jornada completa

Hace 11 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

ZoomInfo is seeking a Software Engineer III to join the Analytical Data team, building the lakehouse for the Data organization. You will work across streaming and batch ingestion, Iceberg management, and multi-engine access to ensure fresh, complete data.

You'll collaborate with analysts, data scientists, product managers, and AI agents, owning pipelines in production with Terraform across GCP and AWS, and delivering reliable data for dashboards and applications.

Formación

  • 3+ years of professional software engineering, focused on data engineering or distributed systems.
  • Strong programming in Kotlin, Java, or Python; pipelines in Kotlin and Python.
  • Hands-on with Apache Beam or Apache Spark in production.
  • Experience with Apache Kafka in production pipelines.
  • Experience with large datasets and distributed systems design.

Responsabilidades

  • 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.
  • Build observability with Datadog dashboards and monitors; explore AI agents for alert triage.
  • Own pipelines in production from incident response to fixes.

Conocimientos

Kotlin
Java
Python
Data engineering
Distributed systems
SQL
BigQuery
Snowflake
Trino
Kafka

Educación

Bachelor's degree in Computer Science/Engineering or related

Herramientas

Apache Beam
Google Cloud Dataflow
Apache Spark
Iceberg
Datadog
Terraform
Dbt

Descripción del empleo

ZoomInfo is seeking a Software Engineer III to join the Analytical Data team, building the lakehouse for the Data organization. You will work across streaming and batch ingestion, Iceberg management, and multi-engine access to ensure fresh, complete data.

You'll collaborate with analysts, data scientists, product managers, and AI agents, owning pipelines in production with Terraform across GCP and AWS, and delivering reliable data for dashboards and applications.

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