Senior Software Engineer – Python

4 days ago

Des Moines Metropolitan Area, United States Cube Hub Inc. Full time $120,000 - $180,000 per year

Description:

12 months contract ; May extend

US Citizen or Permanent Resident only role

W2 position

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 accordingly)


• 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

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