What are the responsibilities and job description for the Software Engineer 3 (Google Cloud Platform Data Engineer with AI) position at Jobs via Dice?
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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:
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.
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.
- 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).
- Python, PySpark, SQL
- Apache Kafka, Airflow
- Google Cloud Platform services: Cloud Storage, BigQuery, Dataproc, Cloud Composer.
- 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
- Locations: Chandler, AZ / Irving, TX / Minnesota, Charlotte, NC 3 days onsite in a week.
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.
Salary : $70 - $75