Software Engineer 3 (Google Cloud Platform Data Engineer with AI)

Chandler, AZ, US • Posted 10 hours ago • Updated 10 hours ago

Full Time

On-site

USD $70.00 - 75.00 per hour

PTR Global

Fitment

Dice Job Match Score™

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Job Details

Skills

Banking
Recruiting
Advanced Analytics
Use Cases
Data Engineering
Real-time
Apache Flink
Apache Spark
Streaming
NoSQL
Database
PySpark
SQL
Apache Kafka
Cloud Storage
Cloud Computing
Workflow
Google Cloud
Google Cloud Platform
Vertex
Artificial Intelligence
Machine Learning Operations (ML Ops)
Python
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Generative Artificial Intelligence (AI)
Prompt Engineering
Training

Summary

#LI-RK2
Our client in the banking industry is hiring a Google Cloud Platform Data Engineer for locations in Minneapolis, MN, Phoenix, AZ, or Charlotte, NC or Irving, TX. This role is ideal for candidates with strong Google Cloud Platform data engineering expertise and experience working with AI or advanced analytics initiatives.
Important: No C2C or 1099 candidates. H1B transfer candidates are welcome.
Job Description:

Software Engineer 3 (Google Cloud Platform Data Engineer with AI)
Client is seeking a Data Engineer with strong Google Cloud Platform expertise and hands-on experience building scalable data pipelines, along with required experience supporting AI/ML-driven use cases.

Required Qualifications:

5 plus years of data engineering experience, including Google Cloud data solutions
Hands-on experience with Spark-based processing and Kafka streaming in collaborative environments
2 plus years of experience building real-time data pipelines using Kafka, Flink, and Spark Streaming.
2 plus years of experience with NoSQL databases (columnar, graph, document, key-value)
Experience with Google Cloud Platform or other cloud certifications (Google Cloud Platform preferred).

3 plus years of experience with data Lakehouse architecture and tools including:

Python, PySpark, SQL
Apache Kafka, Airflow
Google Cloud Platform services: Cloud Storage, BigQuery, Dataproc, Cloud Composer.

AI / ML Requirements:

Hands-on experience integrating ML models into data pipelines or production workflows
Experience with Google Cloud Platform AI/ML tools such as Vertex AI and/or BigQuery ML
Understanding of MLOps concepts (model deployment, monitoring, and lifecycle)
Experience with Python-based ML libraries (e.g., TensorFlow, PyTorch, or Scikit-learn)
Exposure to Generative AI concepts, including basic prompt engineering

Note:

Locations: Chandler, AZ / Irving, TX / Minnesota, Charlotte, NC 3 days onsite in a week.

Pay Range: $70 to $75/h on W2 (Not open to C2C OR 1099)

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: ptrtx
Position Id: 175534
Posted 10 hours ago

Company Info

About PTR Global

Pinnacle Group is a leading provider of information technology and workforce solutions. Pinnacle Group includes Pinnacle Technical Resources, Inc., its flagship information technology staffing and consulting services provider; Pinnacle MSP, a managed services provider; Pinnacle Payrolling, a payrolling and independent contractor compliance provider; Pinnacle Canada, which provides staffing, MSP and payrolling services in Canada.

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