GCP Data Platform Engineer: Real-time Pipelines

Slalom; Atlanta (GA); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Meaningful time off

Health/dental/vision coverage

Parental leave

401(k) with match

Adoption assistance

Short/long-term disability

Well-being reimbursement

Insurance discounts

Annual bonus eligibility

Job summary

Slalom in Atlanta, GA is hiring a Data Engineer for its Google Center of Excellence to design, build, and modernize enterprise data platforms on Google Cloud in a hybrid, in-person-friendly environment.

You will deliver batch and real-time pipelines using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other GCP services, while collaborating with clients and Slalom teams.

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.

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.

Skills

Big Data platforms

Python/Java/SQL

Google Cloud basics (BigQuery/BigLake/

Tools

Dataproc

Apache Spark

Google Kubernetes Engine

Cloud Run

Pub/Sub

Dataflow

Apache Kafka

dbt

Dataplex

BigQuery

Job description

Slalom in Atlanta, GA is hiring a Data Engineer for its Google Center of Excellence to design, build, and modernize enterprise data platforms on Google Cloud in a hybrid, in-person-friendly environment.

You will deliver batch and real-time pipelines using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other GCP services, while collaborating with clients and Slalom teams.