Senior Data Cloud Engineer: Build Global Data Pipelines

Dun & Bradstreet; Jacksonville (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Generous PTO

Parental leave

Education assistance

401k matching

Health insurance

Job summary

Dun & Bradstreet in Jacksonville, Florida is seeking a Sr. Data Cloud Engineer to design, automate, and maintain cloud-based data pipelines and warehousing.

You will work with AWS/GCP, Snowflake, Spark, Python, Kubernetes, Terraform and CI/CD to build scalable, multi-region data architectures. Responsibilities include ETL coordination, data integration, security and cost controls, SQL scripting for data modeling, and end-to-end pipeline performance testing.

Qualifications

• Requires a Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related field.
• Minimum 5 years of experience in data cloud engineering or related duties.

Responsibilities

• Design, automate and maintain cloud-based data pipelines and warehousing.
• Coordinate data integration and ETL processes across multi-region cloud environments.
• Support data security, integrity and cost controls.
• Develop SQL scripts for data modeling and performance tuning.
• Perform end-to-end pipeline load performance testing.

Skills

Cloud data engineering

SQL

Python

ETL

PostgreSQL

Snowflake

Kubernetes

Terraform

CI/CD

AWS

GCP

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

PostgreSQL

Cloud Composer

Terraform

Job description

Dun & Bradstreet in Jacksonville, Florida is seeking a Sr. Data Cloud Engineer to design, automate, and maintain cloud-based data pipelines and warehousing.

You will work with AWS/GCP, Snowflake, Spark, Python, Kubernetes, Terraform and CI/CD to build scalable, multi-region data architectures. Responsibilities include ETL coordination, data integration, security and cost controls, SQL scripting for data modeling, and end-to-end pipeline performance testing.