Google Cloud Platform Data Engineer- Plano, TX- Only locals

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING! This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below. Beware of scams. S3 never asks for money during its onboarding process. Job title: Lead Software Engineer AI, Cloud Native Data Engineering Location: Plano, TX/ Chandler, AZ/ Minneapolis, MN/ Charlotte, NC Hybrid work- some on site work Contract Length: 12+ months Job ref# 2457

Job Title: Senior Data EngineerJob SummaryWe are seeking an experienced Senior Data Engineer with 12+ years of expertise in designing, building, and optimizing scalable data pipelines and architectures. The ideal candidate will have deep knowledge of big data technologies, cloud platforms, and data modeling, along with strong leadership and mentoring skills. Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines (batch & real-time).Architect and optimize data lakes, data wareh

Data Engineer Key Responsibilities Design, develop, and maintain scalable data pipelines on Google Cloud PlatformBuild and optimize ETL/ELT workflows using tools like Dataflow, Dataproc, and Cloud ComposerDevelop and manage datasets, tables, and transformations in BigQueryEnsure data quality, integrity, and consistency across pipelinesOptimize query performance and cost efficiency in BigQuerySupport data ingestion from multiple sources (APIs, databases, flat files, streaming data)Collaborate wi

Location: Plano, TX Salary: $75.00 USD Hourly - $80.00 USD Hourly Description: Job Title: Lead Data Engineer Duration: 6 months contract to Perm Location: Plano, TX (onsite) Interview Type: Initial interview on zoom and In-Person MUST HAVE- 10+ with Data Engineering WITH Databricks, Snowflake, Spark, (Java OR Python) NICE TO HAVE- EMR, AWS Skillset - 1.5+ years of experience with data modelling, warehousing, analysis & data profiling experience, and ability to identify trends and anomal