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

Slalom; Hartford (CT); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Looker Looker Studio

Job summary

Slalom is seeking a Data Engineer for its Google COE to design, build, and modernize enterprise data platforms on Google Cloud Platform, delivering solutions with BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and more.

You will collaborate in cross‑functional teams, participate in design sessions, and ensure timely delivery of development items in the project backlog. The role supports a hybrid work model and requires proximity to Slalom office locations.

Qualifications

• Experience with Google Cloud data engineering and modern data platforms.
• Hands-on delivery experience and collaboration across teams.
• Familiarity with BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, and Looker.

Responsibilities

• Design, build, and modernize enterprise data platforms on Google Cloud Platform.
• Deliver data engineering solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, and Looker.
• Participate in design sessions and ensure timely completion of development items in the project backlog.

Skills

Dataproc

Apache Spark

BigQuery

BigLake

Cloud SQL

Python

Java

SQL

Airflow

dbt

Dataplex

Looker

Looker Studio

Tools

Dataproc

Apache Spark

BigQuery

BigLake

Cloud SQL

Python

Java

SQL

Airflow

dbt

Dataplex

Looker

Looker Studio

Job description

Slalom is seeking a Data Engineer for its Google COE to design, build, and modernize enterprise data platforms on Google Cloud Platform, delivering solutions with BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and more.

You will collaborate in cross‑functional teams, participate in design sessions, and ensure timely delivery of development items in the project backlog. The role supports a hybrid work model and requires proximity to Slalom office locations.