Google Data Engineer

About the role

Slalom is a consulting company that helps clients transform their businesses through technology. The Google Center of Excellence (COE) within Slalom focuses on integrating intelligence into products and building innovative data products. As a Data Engineer in this COE, you will work on designing, building, and modernizing enterprise data platforms on Google Cloud Platform (GCP).

Responsibilities

• Design, build, and modernize enterprise data platforms on Google Cloud Platform (GCP)
• Deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other Google Cloud services
• Help clients migrate and modernize data estates
• Implement real-time and batch pipelines
• Enable governed analytics
• Accelerate AI-ready data foundations
• Work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed

Requirements

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)
• Google BigQuery, 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

Qualifications

You must be within commutable distance to one of Slalom's listed office locations.

Skills

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)
• Google BigQuery, 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

Benefits

Slalom offers a comprehensive benefits package including:

• Meaningful time off and paid holidays
• Paid parental leave
• 401(k) with a match
• A range of choices for highly subsidized health, dental, & vision coverage
• Adoption and fertility assistance
• Short/long-term disability
• Yearly $350 reimbursement account for well-being-related expenses
• Discounted home, auto, and pet insurance

Pay

The base salary pay range is $100,000 - $115,000 for Consultant, depending on experience. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

Schedule

You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.