GCP Data Engineer: AI-Ready Data Platforms

Slalom; Philadelphia (Philadelphia County); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Parental leave

Disability insurance

Well-being reimbursement

Hybrid work model

Job summary

Slalom is seeking a Data Engineer for its Google COE to design 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 more within collaborative teams.

You will help migrate and modernize data estates, implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations while working in a hybrid environment with in-person collaboration as

Qualifications

• Experience with Google Cloud data services and modern data engineering.
• Hands-on with scalable ETL/ELT pipelines and data platforms.
• Proficiency in Python, Java, and SQL; strong SQL skills.

Responsibilities

• Design, build, and modernize enterprise data platforms on Google Cloud Platform.
• Deliver real-time and batch pipelines and governance for analytics and AI.
• Collaborate in cross-functional teams to deliver data solutions for clients.

Skills

Big Data Platforms

Google BigQuery

BigLake

Cloud SQL

Python

Java

SQL

Managed Airflow

dbt

Dataplex

Dataproc

Apache Spark

Looker

Looker Studio

Tools

Dataproc

Apache Spark

Looker

Looker Studio

Job description

Slalom is seeking a Data Engineer for its Google COE to design 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 more within collaborative teams.

You will help migrate and modernize data estates, implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations while working in a hybrid environment with in-person collaboration as