Google Cloud Data Engineer — Build AI-Ready Data Platforms

Slalom; Tampa (FL); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

401(k) match

Health, dental, and vision coverage

Well-being reimbursement

Discounted home, auto, and pet insur.

Job summary

Slalom is seeking a Data Engineer to join its Google COE, helping design, build, and modernize enterprise data platforms on Google Cloud Platform. You will work with BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and related services to deliver scalable data solutions.

You will migrate and modernize data estates, implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations while collaborating in a hybrid

Qualifications

• Experience delivering data solutions on Google Cloud Platform (GCP).
• Strong SQL and Python/Java development skills.
• Familiarity with modern data platforms and orchestration tools.

Responsibilities

• Design, build, and modernize enterprise data platforms on GCP.
• Deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker.
• Migrate and modernize data estates; implement real-time and batch pipelines; enable governed analytics.

Skills

Big Data Platforms

Google BigQuery

Python

Java

SQL

Dataplex

Tools

Looker

Looker Studio

Job description

Slalom is seeking a Data Engineer to join its Google COE, helping design, build, and modernize enterprise data platforms on Google Cloud Platform. You will work with BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and related services to deliver scalable data solutions.

You will migrate and modernize data estates, implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations while collaborating in a hybrid