Remote Senior Data Engineer: End-to-End Data Pipelines

Zoominfo; Stati Uniti; Remoto; USD 110.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

Descrizione del lavoro

ZoomInfo is seeking a data engineer to build and operate data pipelines and transformative models that power cross-functional business initiatives. You’ll own the full delivery cycle—from clarifying stakeholder needs to deploying, monitoring, and maintaining production data assets across multiple domains.

You will develop end-to-end ingestion pipelines, build semantic-layer data models, and collaborate with teams across marketing, finance, sales, legal, HR, and product to translate data needs

Competenze

• 4+ years of data engineering experience with production pipelines.
• Strong SQL and Python skills including production coding and debugging.
• Hands-on experience with cloud data warehouses (Snowflake preferred; BigQuery or equivalents accepted).
• Experience building and maintaining dbt models, plus Airflow and Fivetran.

Mansioni

• Develop and own end-to-end ingestion and transformation pipelines using orchestration, connectors, modeling, and compute tools.
• Build and maintain tested, reusable data models for semantic layer and downstream dashboards/apps.
• Collaborate with marketing, finance, sales, legal, HR, and product to translate data needs into specs.
• Contribute to infrastructure-as-code and manage cloud resources and data connectors.
• Apply CI/CD, code reviews, observability, testing, and documentation practices.
• Troubleshoot pipeline and data quality issues, monitor SLAs, support incident response, protect PII.

Conoscenze

SQL

Python

Data modeling

CI/CD for pipelines

Strumenti

Snowflake

BigQuery

dbt

Airflow

Fivetran

Databricks

Terraform

AWS S3

Lambda

GCP

Descrizione del lavoro

ZoomInfo is seeking a data engineer to build and operate data pipelines and transformative models that power cross-functional business initiatives. You’ll own the full delivery cycle—from clarifying stakeholder needs to deploying, monitoring, and maintaining production data assets across multiple domains.

You will develop end-to-end ingestion pipelines, build semantic-layer data models, and collaborate with teams across marketing, finance, sales, legal, HR, and product to translate data needs