Data Engineer, Google Cloud Platform and PySpark

Job overview

The Data Engineer, Google Cloud Platform and PySpark role is onsite in Irving, TX. Compensation is $55–$60 per hour. The client provides information technology services, including application, infrastructure, and business outsourcing services. The engineer builds and operates production-grade data pipelines and reusable framework components for consistent data onboarding. The role supports reliable, governed, and cost-efficient data flows by applying PySpark and Google Cloud Platform services, monitoring data quality, and collaborating with platform and security teams.

What you'll do

• Design, build, and harden production data pipelines for ingestion, curation, reconciliation, data-quality monitoring, lineage, and notifications. Extend reusable pipeline frameworks
• transform data using PySpark on GCP and BigQuery
• apply schema, performance, reliability, and cost practices
• integrate cataloging and governance
• and support observable, recoverable data flows under production SLAs.

What we're looking for

Skills & competencies

data engineer

google cloud platform

pyspark

bigquery

data pipelines

data ingestion

data governance

data quality

irving tx

aptask

$55–$60/hour

Work arrangement

• Weekend coverage required

Why this role

Production data engineering with PySpark, GCP, BigQuery, data governance, and reusable pipeline frameworks; stated rate range is $55–$60 per hour.

About the employer

ApTask is hiring for this role. Industry: Computer Facilities Management Services. Sector: 54.