Hybrid Data Engineer, Cloud & AI Data Platforms

Slalom; Nashville (TN); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

401(k) with match

Parental leave

Disability coverage

Well-being reimbursement program

Job summary

Slalom is seeking a Data Engineer for its Google COE in Nashville to design, build, and modernize enterprise data platforms on Google Cloud. You will deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, and Looker while migrating and modernizing data estates and enabling real-time analytics.

You will work in collaborative teams, participate in design sessions, and contribute to governance and scalable data foundations, with a hybrid work arrangement and commuting to local

Qualifications

• Experience designing and implementing data pipelines on cloud platforms.
• Proficiency with Big Data tools and cloud-native data platforms.
• Strong programming skills in Python, Java, and SQL.

Responsibilities

• Design, build, and modernize enterprise data platforms on Google Cloud.
• Deliver data solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub and Looker.
• Collaborate in hybrid teams and participate in design sessions.

Skills

Big Data Platforms

Python/Java/SQL

Google Cloud Platform (GCP)

Data pipelines design

Tools

Dataproc

Apache Spark

BigQuery

BigLake

Cloud SQL

Airflow

dbt

Dataplex

Job description

Slalom is seeking a Data Engineer for its Google COE in Nashville to design, build, and modernize enterprise data platforms on Google Cloud. You will deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, and Looker while migrating and modernizing data estates and enabling real-time analytics.

You will work in collaborative teams, participate in design sessions, and contribute to governance and scalable data foundations, with a hybrid work arrangement and commuting to local