GCP Data Engineer: Modern Data Platforms & AI Pipelines

Slalom; Dallas (TX); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Time off & holidays

Parental leave

401(k) matching

Health, dental & vision coverage

Well-being reimbursement

Insurance discounts

Job summary

Slalom's Google COE in Dallas seeks a Data Engineer to design, build, and modernize enterprise data platforms on Google Cloud. You will deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other Google Cloud services.

You will help clients migrate and modernize data estates, implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations, in a collaborative, hybrid team.

Qualifications

• Experience building data platforms on cloud data warehouses and lakes.
• Proficiency with BigQuery and data orchestration tooling.
• Ability to design scalable, secure data pipelines.

Responsibilities

• Design, build, and modernize enterprise data platforms on GCP.
• Deliver solutions using BigQuery, Dataplex, Dataflow and more.
• Migrate and modernize clients' data estates and enable analytics.
• Collaborate with teams to accelerate AI-ready data foundations.

Skills

Big Data Platforms

Python

Java

SQL

Tools

Dataproc

Spark (Apache)

BigQuery

BigLake

Cloud SQL

Dataflow

Pub/Sub

Looker

Dataplex

Vertex AI

Job description

Slalom's Google COE in Dallas seeks a Data Engineer to design, build, and modernize enterprise data platforms on Google Cloud. You will deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other Google Cloud services.

You will help clients migrate and modernize data estates, implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations, in a collaborative, hybrid team.