Google Cloud Data Engineer — Real-Time & AI-Ready Platforms

Slalom; Minneapolis (MN); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, & vision

Well-being reimbursement $350

Disability insurance

Job summary

Slalom is a consulting company helping clients accelerate digital transformation through software, data, AI, and cloud products. In our Google COE, we design and deliver data platforms on Google Cloud, enabling AI-ready data foundations and governed analytics.

As a Data Engineer, you’ll work with BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, and Looker to build scalable solutions, migrate estates, and modernize data architectures, in a hybrid environment with on-site collaboration as needed.

Qualifications

• Experience building enterprise data platforms on Google Cloud.
• Proficiency in BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub.
• Strong Python/Java/SQL programming skills.

Responsibilities

• Design, build, and modernize enterprise data platforms on Google Cloud.
• Migrate and modernize data estates; enable governed analytics.
• Deliver real-time and batch data pipelines and AI-ready foundations.

Skills

Big Data Platforms

Dataproc

Apache Spark

BigQuery

Python

Java

SQL

Dataplex

Pub/Sub

Looker

Airflow

dbt

Education

Tools

Dataproc

Dataplex

Dataflow

Dataproc

Pub/Sub

Looker

Job description

Slalom is a consulting company helping clients accelerate digital transformation through software, data, AI, and cloud products. In our Google COE, we design and deliver data platforms on Google Cloud, enabling AI-ready data foundations and governed analytics.

As a Data Engineer, you’ll work with BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, and Looker to build scalable solutions, migrate estates, and modernize data architectures, in a hybrid environment with on-site collaboration as needed.