Data Software Engineer II
New
Alaska Washington Montana Oregon California Within 65 miles of Lubbock, Levelland or Plainview, Texas Within 65 miles of Hobbs, New MexicoFull-TimeMiddle
Salary36.82 - 89.13 per hour
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Job Details
- Experience
- 2 years related experience; software engineering experience preferred. 2-5 years preferred.
- Required Skills
- PythonSQLGitJavaC#JiraNosqlAzure DevOpsLLMGenerative AI
Requirements
- Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering, or equivalent education/experience
- 2 years related experience; software engineering experience preferred. 2-5 years preferred.
- Experience with object-oriented programming in C#, Java, Python or equivalent.
- Experience with source code control systems such as Git.
- SQL integration development experience using SQL/NoSQL.
- Experience with agile methodologies and tools such as Azure Devops, TFS, and Jira.
- Proven track record of working both independently and collaboratively as part of a multi-disciplined team.
- Experience designing and successfully implementing a mid-sized project.
- Strong foundation in data engineering, including real‑time streaming architectures and end‑to‑end pipeline development
- Experience working with generative AI solutions, large language models (LLMs), and data‑driven platforms
- Experience modeling, processing, and optimizing large‑scale datasets in distributed or cloud environments
- Familiarity with data governance, security, and compliance best practices across the data lifecycle
- Proficiency in implementing data validation, monitoring, and alerting frameworks to ensure data reliability
Responsibilities
- Design, build, and modernize data platforms through the migration, consolidation, and refactoring of enterprise data warehouses.
- Develop scalable data pipelines and streaming solutions.
- Work with large‑scale datasets in cloud environments.
- Apply best practices in data modeling, governance, and security.
- Ensure accuracy, reliability, and compliance across the data lifecycle.
- Implement robust validation, monitoring, and alerting frameworks.
- Help drive meaningful data insights for caregivers by enabling and supporting AI‑powered tools, including generative AI and LLM-based solutions, to improve decision‑making and operational outcomes.
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