Job Title: Google Cloud Platform Data Engineer
Location: Dallas, TX
Duration: 6 Months + Extension
Bill Rate: $80/hour
Job Type: W-2 Contract
Client: To Be Discussed Later
Work Authorization:
Job Description:
Required Qualifications
- 5+ years of hands-on data engineering or ML data engineering experience in a production Google Cloud Platform environment.
- Strong proficiency in Python, Java, or Node.js for pipeline development, feature-engineering scripts, and automation.
- Hands-on experience with BigQuery, including partitioning, clustering, cost management, complex SQL, and ML-optimized table design.
- Proficiency with Apache Kafka for real-time streaming ingestion.
- Experience with Dataflow / Apache Beam for both streaming and batch pipelines.
- Proficiency with Apache Spark, PySpark, or Scala Spark; Data Spark experience is a strong plus.
- Solid familiarity with the Google Cloud Platform ecosystem, including Cloud Storage, Pub/Sub, Dataproc, and Cloud Composer / Airflow.
- Experience building ML training pipelines and feature stores, preferably Google Cloud Platform Feature Store, with an understanding of the ML lifecycle, including feature engineering, data versioning, and train/evaluation splits.
- Experience with Vertex AI Pipelines or similar MLOps tooling.
- Demonstrated experience designing disaster recovery zones and failover strategies for cloud data platforms, including cross-region replication, RTO/RPO definition, and DR testing.
- Experience with data archival design, including BigQuery table lifecycle management, Cloud Storage tiered storage policies, and long-term retention for regulated datasets.
- Hands-on experience handling PHI under HIPAA, including field-level encryption and masking, de-identification techniques, audit logging, access-control policies, and HIPAA Security Rule compliance for data at rest and in transit.
- Strong SQL and data-modeling skills, with experience in layered data lake or lakehouse architecture.
Equal opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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