Senior Data Engineer

Location: Hybrid 3 days a week onsite

Duration: 6 month contract to hire

We're looking for a Senior Data Engineer to lead the development of scalable, cloud-native data pipelines. You'll be responsible for building efficient ETL/ELT workflows, guiding cloud migrations, and delivering clean, high-performance data systems to support business goals.

What You'll Do:

Design and maintain pipelines using Dataflow (Apache Beam), Pub/Sub, and BigQuery
Orchestrate workflows with Cloud Composer (Airflow)
Lead data migrations from Snowflake/AWS to GCP
Enforce data quality, monitoring, and performance optimization
Collaborate with cross-functional teams to align data solutions with business needs

What You Bring:

GCP Certification (Professional Data Engineer required)
5+ years in data engineering with strong Python and SQL skills
Deep experience with GCP: BigQuery, Dataflow, Pub/Sub, and Cloud Storage
Background in Airflow, CI/CD pipelines, and Infrastructure as Code (Terraform)
Proven ability to manage large datasets and drive data performance

This hybrid role requires onsite presence 3 days a week. If you're certified and excited to shape cloud data infrastructure at scale, apply now to join a collaborative and forward-thinking team.