Senior Cloud Data Engineer AI & Analytics (Santa Clara County) Job at Kelly Science, Engineering, Technology & Telecom, Santa Clara County, CA

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  • Kelly Science, Engineering, Technology & Telecom
  • Santa Clara County, CA

Job Description

Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com

Title: Senior Software Engineer (Senior Cloud Data Engineer AI & Analytics)

Location: Santa Clara, CA or Des Moines, IA

Duration: Until Oct/2026 (Possibility of extension)

W2 Contract (No C2C)

Pay rate: $64 - $71 per hour

Description:

We are seeking a highly technical and self-directed Senior Software Engineer to contribute to the development of data processing pipelines for a new AI-enabled data analytics product targeted at Large Ag customers.

Ideal candidates will have:

  • 5+ years of professional software development experience using Python
  • 2+ years of hands-on experience with AWS and Databricks in production environments
  • We are looking for mid-career professionals with a proven track record of deploying cloud-native solutions in fast-paced software delivery environments.
  • In addition to technical expertise, successful candidates will demonstrate:
  • Strong communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders (this is extremely important - please vet out accorrdingly)
  • The ability to work effectively with limited supervision in a distributed team environment
  • A proactive mindset, adaptability, and a commitment to team success

Key Responsibilities:

  • Design and implement AWS/Databricks solutions to process large geospatial datasets for real-time API services
  • Develop and maintain REST APIs and backend processes using AWS Lambda
  • Build infrastructure as code using Terraform
  • Set up and maintain CI/CD pipelines using GitHub Actions
  • Optimize system performance and workflows to improve scalability and reduce cloud costs
  • Enhance monitoring and alerting across systems using Datadog
  • Support field testing and customer operations by debugging and resolving data issues
  • Collaborate with product managers and end users to understand requirements, build backlog, and prioritize work
  • Work closely with data scientists to productionize prototypes and proof-of-concept models
  • Required Skills & Experience:
  • Excellent coding skills in Python with experience deploying production-grade software
  • Strong foundation in test-driven development
  • Solid understanding of cloud computing, especially AWS services such as IAM, Lambda, S3, RDS
  • Professional experience building Databricks workflows and optimizing PySpark queries

Preferred Experience:

  • Experience working with geospatial data and related libraries/tools
  • Experience building and operating API using AWS lambda
  • Familiarity with data lake architectures and Delta Lake
  • Experience with event-driven architectures and streaming data pipelines (e.g., Kafka, Kinesis)
  • Exposure to ML Ops or deploying machine learning models in production
  • Prior experience in cross-functional teams involving product, data science, and backend engineering teams

Job Tags

Hourly pay, Contract work, Part time, Immediate start,

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