Google Data Engineer

About the role

Slalom's Google Center of Excellence (COE) focuses on enhancing client digital transformation through custom software, data, AI, and cloud products. As a Data Engineer in this COE, you will collaborate with clients to build world-class products using Google Cloud Platform (GCP) services like BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and others.

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.
• Implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations.
• Engage in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
• Work in a hybrid environment, with expectations to be in-person with Slalom teams and clients as needed.

Requirements

• Passion for Google Cloud and modern data engineering.
• Continuous skill expansion through hands-on delivery, certifications, and collaboration across the Google COE.
• Experience with 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.
• Experience with Nice to Have Tools: Looker, Looker Studio, Gemini Enterprise, AI, ML Ops.

Qualifications

• Passionate about Google Cloud and modern data engineering.
• Experience with 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.
• Experience with Nice to Have Tools: Looker, Looker Studio, Gemini Enterprise, AI, ML Ops.

Skills

• 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

Benefits

Slalom offers a comprehensive benefits package including:

• Meaningful time off and paid holidays
• Parental leave
• 401(k) with a match
• 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 expectations to be in-person with Slalom teams and clients as needed.