Cloud Data Engineer (GCP) for Real-Time, AI-Ready Data

Slalom; Columbus (OH); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Parental leave

401(k) with match

Health, dental & vision coverage

Fertility assistance

Disability insurance

Well-being reimbursement

Job summary

Slalom is seeking a Data Engineer for its Google COE to design, build, and modernize enterprise data platforms on Google Cloud Platform. You will deliver solutions using BigQuery, Dataproc, Dataflow, Pub/Sub, Looker, Vertex AI, and more, helping clients migrate data estates, implement real-time and batch pipelines, and enable governed analytics for AI-ready data foundations.

You’ll work in collaborative teams, participate in design sessions, and contribute to delivering scalable, secure

Qualifications

• Proficient with Google Cloud data services and modern data platforms.
• Experience designing, building, and modernizing enterprise data pipelines.
• Strong SQL, Python/Java, and data modeling skills.
• Knowledge of real-time and batch processing architectures.

Responsibilities

• Design, build, and modernize data platforms on Google Cloud Platform.
• Deliver solutions using BigQuery, Dataproc, Dataflow, Pub/Sub, Looker, and Vertex AI.
• Migrate and modernize data estates and enable governed analytics for AI-ready data foundations.
• Collaborate in design sessions and ensure timely delivery of development items.

Skills

Big Data Platforms

Python

SQL

Java

Cloud-native

Data modeling

Tools

Dataproc

Dataflow

Pub/Sub

Looker

Dataplex

Vertex AI

Airflow

dbt

BigQuery

Spark

Job description

Slalom is seeking a Data Engineer for its Google COE to design, build, and modernize enterprise data platforms on Google Cloud Platform. You will deliver solutions using BigQuery, Dataproc, Dataflow, Pub/Sub, Looker, Vertex AI, and more, helping clients migrate data estates, implement real-time and batch pipelines, and enable governed analytics for AI-ready data foundations.

You’ll work in collaborative teams, participate in design sessions, and contribute to delivering scalable, secure