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 enhancing client products with intelligence, building robust data platforms on Google Cloud, and enabling advanced analytics and generative AI.
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, 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 technology and its potential to drive change.
- Ability to solve complex data challenges and build scalable, secure, cloud-native platforms.
- Experience with Google Cloud services such as BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other Google Cloud services.
- Strong understanding of data engineering principles and best practices.
- Experience with modern workflow and pipeline automation tools.
- Experience with data integration and orchestration.
- Experience with data platform modernization and migration.
- Experience with AI-ready data foundations.
Skills
- Google Cloud Platform (GCP)
- 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
- Looker, Looker Studio
- Nice to Have: Gemini Enterprise, AI, ML Ops
Benefits
Slalom offers a comprehensive benefits package including meaningful time off, paid holidays, parental leave, 401(k) with a match, highly subsidized health, dental, and vision coverage, adoption and fertility assistance, and short/long-term disability. Additionally, there is a yearly $350 reimbursement account for well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices with a base salary range of $100,000 - $115,000 for Consultant, depending on experience. An annual discretionary bonus may also be awarded.
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.