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
