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Software Engineer

Sunrise Systems, Inc.Urbandale, IA🇺🇸United StatesPosted 30 Jul 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Urbandale, IA, United States
Posted
4 weeks ago
DockerSQLAWSDatabricksDatadogGitHub ActionsPostgreSQLPythonRESTRedisTerraform

Job Description

Job Title: Software Engineer Job ID: 26-03780 Location: Urbandale, IA, 50322 Duration: 14 Months on W2 contract

Job Description

We are looking for a highly technical engineer to build and support weather data acquisition, processing, and analysis products, including our weather service, using a cloud-based solutions stack. We are open to early or advanced career candidates with strong examples of novel contributions and highly independent work in a fast-paced software delivery environment.

Essential attributes/experience:
  • Excellent coding skills (Python) with production software deployment experience
  • Big data experience (terabyte or petabyte level data sources)
  • Core understanding of cloud computing (e.g., AWS services like IAM, Lambda, S3, RDS)

Example Responsibilities (including but not limited to):
  • Architect and propose new AWS/Databricks solutions & updates to existing backend systems that ingest, cache, and process terabyte and petabyte level weather data (e.g., from IBM Weather Company API)
  • Work closely with the product management team and end users to understand customer experience and system requirements, build backlog, and prioritize work
  • Build infrastructure as code (e.g., Terraform)
  • Improve system scalability and optimize workflows to reduce cloud costs
  • Create and update REST APIs and backend processes (e.g., AWS Chalice/Lambda) for current, historical, and forecast weather data
  • Build/support solutions involving containerization (e.g., Docker), caching (Redis), and databases (e.g., PostgreSQL/PostGIS)
  • Support Databricks/Spark pipelines for historical weather data backfill into S3 (Parquet/Delta Lake) and data analysis (SQL/PySpark)
  • Migrate and maintain CI/CD pipelines (e.g., GitHub Actions)
  • Enhance monitoring and alerting for weather systems (e.g., Datadog)
  • Enable field testing and customer support operations by debugging and fixing data issues
  • Work with data scientists to scalably fetch and manipulate large weather data sets for models and analysis

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