> Markdown version of [/jobs/ext/4454655-google-data-engineer](https://www.wearedevelopers.com/jobs/ext/4454655-google-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Google Data Engineer

- **Company:** Slalom, LLC
- **Location:** Seattle, WA, United States
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Java (Programming Language), Adobe InDesign, Artificial Intelligence, Airflow, Data Analysis, Big Data, BigTable, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Databases, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Python (Programming Language), MongoDB, Gemini Enterprise (Agent Platform), Standard Sql, Cloudera, Enterprise Data Management, Google Cloud, Cloud Platform System, Google Data Studio, Apache Spark, Kubernetes, Apache Kafka, Machine Learning Operations, Looker Analytics
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/google-data-engineer-seattle-wa--26774757-6cf2-40de-b212-020ba5cefeaa

## About the Role

Data Analysis, Cloud Computing, Artificial Intelligence (AI), Process Improvement, Product Engineering, Database Extract Transform and Load (ETL), Cloud Architecture, Data Warehousing, Architectural Analysis, Automation

## Description

As a Data Engineer in Slalom's Google COE, you will work in collaborative teams to design, build, and modernize enterprise data platforms on Google Cloud Platform (GCP). 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.

You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.

 * You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
 * You also must be within commutable distance to one of Slalom's listed office locations.

What You'll Bring

You are passionate about Google Cloud and modern data engineering and continuously expand your skills through hands-on delivery, certifications, and collaboration across the Google COE. You enjoy solving complex data challenges and building scalable, secure, cloud-native platforms.

 * Big Data Platforms (Dataproc, Apache Spark)
 * GoogleBigQuery,BigLake, Cloud SQL
 * Python, Java, SQL
 * Firestore, Bigtable, Spanner, MongoDB
 * Google Kubernetes Engine (GKE), Cloud Run
 * Pub/Sub, Dataflow, Apache Kafka
 * Managed Airflow,dbt,Dataplex

Nice to have

 * Looker, Looker Studio
 * Gemini Enterprise, AI, ML Ops
*

Hybrid/In office: We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirements