Senior Software Engineer
Location: Urbandale, IA
Salary: $65.00 USD Hourly – $70.00 USD Hourly
Description:
Senior Software Engineer
Location: Urbandale, IA
Description:12 months with possible extension
Looking for a highly skilled and self-motivated Senior Software Engineer to help build data processing pipelines for a cutting-edge, AI-powered analytics platform tailored for our Large Agriculture customers.
What You’ll Do:
- Design and implement scalable AWS and Databricks solutions to process large geospatial datasets for real-time APIs.
- Develop and maintain backend services and REST APIs using AWS Lambda.
- Build infrastructure as code with Terraform.
- Set up and manage CI/CD pipelines via GitHub Actions.
- Optimize performance and reduce cloud costs through workflow improvements.
- Enhance system observability using Datadog for monitoring and alerting.
- Troubleshoot and resolve data issues during field testing and customer operations.
- Collaborate with product managers and users to gather requirements and prioritize work.
- Partner with data scientists to productionize models and prototypes.
What We’re Looking For:
- 5 years of professional experience in Python development.
- 2 years of hands-on experience with AWS and Databricks in production environments.
- Proven success delivering cloud-native solutions in fast-paced environments.
You’ll Excel If You Have:
- Excellent communication skills-able to explain complex technical topics to both technical and non-technical audiences.
- A proactive, adaptable mindset and the ability to work independently in a distributed team.
- A strong commitment to team success and collaboration.
Required Skills:
- Proficiency in Python and test-driven development.
- Solid understanding of AWS services (IAM, Lambda, S3, RDS).
- Experience building and optimizing Databricks workflows and PySpark queries.
Preferred Qualifications:
- Experience with geospatial data and related tools.
- Familiarity with Delta Lake and data lake architectures.
- Knowledge of event-driven systems and streaming tools (Kafka, Kinesis).
- Exposure to ML Ops and deploying machine learning models in production.
- Experience working in cross-functional teams with product, data science, and engineering.
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Contact:
This job and many more are available through The Judge Group. Please apply with us today!