Google Cloud Data Engineer — AI-Ready Analytics

Slalom, LLC; Atlanta (GA); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, vision insurance

Paid holidays

Job summary

Slalom is seeking a Data Engineer to join our Google COE, helping clients design, build, and modernize data platforms on Google Cloud. You will deliver batch and streaming data solutions using BigQuery, Dataproc, Dataflow, Pub/Sub, and Looker, while ensuring governed analytics and AI-ready data foundations.

You will collaborate in hybrid teams, participate in design sessions, and contribute to project backlogs while migrating data estates to Google Cloud and accelerating client transformations.

Qualifications

• Experience building modern data platforms on Google Cloud.
• Ability to design, build, and modernize data pipelines (real-time and batch).
• Strong collaboration with clients and internal teams in a COE setting.

Responsibilities

• Design, build, and modernize enterprise data platforms on Google Cloud.
• Migrate and upgrade data estates to Google Cloud, enabling governance and analytics.
• Implement real-time and batch data pipelines and scalable data foundations.
• Participate in design sessions and contribute to project backlogs.

Skills

Cloud data engineering

Google Cloud Platform

ETL/ELT

Data modeling

Python

SQL

Java

Spark

Tools

BigQuery

Dataproc

Dataflow

Dataplex

Pub/Sub

Looker

dbt

Airflow

GKE

Cloud Run

Job description

Slalom is seeking a Data Engineer to join our Google COE, helping clients design, build, and modernize data platforms on Google Cloud. You will deliver batch and streaming data solutions using BigQuery, Dataproc, Dataflow, Pub/Sub, and Looker, while ensuring governed analytics and AI-ready data foundations.

You will collaborate in hybrid teams, participate in design sessions, and contribute to project backlogs while migrating data estates to Google Cloud and accelerating client transformations.