GCP Data Engineer: Real-Time Pipelines & AI-Ready Data

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

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Discretionary bonus potential

Job summary

Slalom's Google COE is seeking a Data Engineer to design, build, and modernize enterprise data platforms on Google Cloud, delivering scalable solutions with BigQuery, Dataplex, Dataflow, and more.

You will work in hybrid teams with clients, participate in design sessions, and help migrate data estates while enabling governed analytics and AI-ready foundations.

Strong Python/Java/SQL skills and experience with Airflow and dbt are valued, with opportunities across the Google Cloud stack.

Qualifications

• Experience designing and building enterprise data platforms on Google Cloud.
• Proficiency with BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker.

Responsibilities

• Design, build, and modernize enterprise data platforms on Google Cloud.
• Deliver solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, and related services.
• Participate in design sessions and ensure timely completion of development items.
• Work in a hybrid environment and collaborate with Slalom teams and clients.

Skills

Google Cloud

Data engineering

Team collaboration

Tools

Dataproc

Apache Spark

BigQuery

BigLake

Cloud SQL

Python

Java

SQL

Airflow

dbt

Dataplex

Pub/Sub

Looker

Job description

Slalom's Google COE is seeking a Data Engineer to design, build, and modernize enterprise data platforms on Google Cloud, delivering scalable solutions with BigQuery, Dataplex, Dataflow, and more.

You will work in hybrid teams with clients, participate in design sessions, and help migrate data estates while enabling governed analytics and AI-ready foundations.

Strong Python/Java/SQL skills and experience with Airflow and dbt are valued, with opportunities across the Google Cloud stack.