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
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 looking for a Data Engineer to join its Google Center of Excellence, supporting the design, build, and modernization of enterprise data platforms on Google Cloud. The role focuses on delivering batch and real-time data pipelines, establishing governed analytics, and contributing to AI-ready data foundations while advancing work items from a project backlog.
This position is based in Atlanta, GA and operates in a hybrid setup, with expectations for in-person time with Slalom teams and clients as needed.
What you’ll do
- 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 GCP services.
- Support clients with migrations and modernization of data estates, including real-time and batch pipeline implementation and enabling governed analytics.
- Help accelerate AI-ready data foundations through development work and implementation support.
- Participate in design sessions.
- Ensure timely completion of assigned development items from a project backlog.
Requirements
- Experience with Big Data Platforms such as Dataproc and Apache Spark.
- Hands-on knowledge of 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.
- Experience with Pub/Sub, Dataflow, and Apache Kafka.
- Knowledge of Managed Airflow, dbt, and Dataplex.
- Ability to be within commutable distance to one of Slalom’s listed office locations.
- Ability to work in a hybrid environment with expectation to be in-person with Slalom teams and clients as needed.
Tools and technologies
- Google Cloud Platform (GCP): BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud SQL, BigLake
- Data and NoSQL: Firestore, Bigtable, Spanner, MongoDB
- Cloud infrastructure: Google Kubernetes Engine (GKE), Cloud Run
- Streaming and orchestration: Apache Kafka, Managed Airflow
- Analytics and modeling: dbt, Looker Studio
- AI: Gemini Enterprise, AI, ML Ops
- Programming: Python, Java, SQL, Apache Spark
Compensation and benefits
- Base salary range: $100,000 - $115,000 per year for Consultant level, depending on experience.
- Annual discretionary bonus eligibility may apply (if eligible).
- 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.
Compensation note: Actual compensation depends on skills, experience, qualifications, location, and other relevant factors.
Office locations (hybrid)
- 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
Business function: Data & analytics
Job reference: JBR0001519
Date posted: Wednesday, July 15, 2026
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