Data Engineer
Analytics
Big Data
Business Intelligence
Cloud
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Design
Digital Marketing
Engineer
ETL
GCP
Gcp Cloud
Gcp Cloud Storage
Google Cloud Platform
Google Kubernetes Engine
Informatica
Information Technology (IT)
Programming
Programming Language
Programming Languages
Reporting and Analytics
Software Development
SQL
Visual Design
Job Description
Slalom is hiring a Data Engineer for its Google Center of Excellence to design, build, and modernize enterprise data platforms on Google Cloud. The role focuses on delivering batch and real-time data pipelines, enabling governed analytics, and supporting AI-ready data foundations, including execution of items from a project backlog.
Role Responsibilities
- Design, build, and modernize enterprise data platforms on Google Cloud Platform (GCP).
- Deliver solutions using services including BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other GCP offerings.
- Support client initiatives such as migrating and modernizing data estates, implementing real-time and batch pipelines, enabling governed analytics, and accelerating AI-ready data foundations.
- Participate in design sessions.
- Own the timely completion of development items assigned to you in a project backlog.
Required Qualifications
- Experience with Big Data platforms, including Dataproc and Apache Spark.
- Experience with Google BigQuery, BigLake, and Cloud SQL.
- Proficiency with Python, Java, and SQL.
- Experience with Firestore, Bigtable, Spanner, and MongoDB.
- Familiarity with Google Kubernetes Engine (GKE) and Cloud Run.
- Knowledge of Pub/Sub, Dataflow, and Apache Kafka.
- Experience with Managed Airflow and dbt, along with Dataplex.
- Be within commutable distance to one of Slalom’s listed office locations.
- Work in a hybrid environment with expectation of in-person time with Slalom teams and clients as needed.
Technologies
- BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage
- Vertex AI, Looker, Looker Studio, Google Cloud Platform (GCP)
- Cloud SQL, BigLake
- Firestore, Bigtable, Spanner, MongoDB
- Google Kubernetes Engine (GKE), Cloud Run
- Apache Kafka, Managed Airflow, dbt
- Apache Spark, Python, Java, SQL
- Gemini Enterprise, AI, ML Ops
Location
Atlanta, GA (hybrid)
Offices (Commutable Locations)
- Atlanta, GA; Austin, TX; Charlotte, NC; Columbus, OH; Dallas, TX
- Detroit, MI; Hartford, CT; Houston, TX; Miami, FL; Minneapolis, MN
- Nashville, TN; Philadelphia, PA; Phoenix, AZ; Raleigh, NC; Salt Lake City, UT
- St. Louis, MO; Tampa, FL
Compensation
Base salary: $100,000 - $115,000 per year (Consultant), depending on experience.
Individuals may be eligible for an annual discretionary bonus. Actual compensation depends on skills, experience, qualifications, location, and other relevant factors.
Benefits
- Meaningful time off and paid holidays
- Parental leave
- 401(k) with a match
- Highly subsidized health, dental, and 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
- Annual discretionary bonus eligibility (if eligible)
Posting Details
- Date posted: Wednesday, July 15, 2026
- Ref #: JBR0001519
- Business function: Data & analytics
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