24 hours ago
Remote, United StatesMid Level
Base Salary
$112k - $123k/yr
Responsibilities
- Design, develop, test, maintain, debug, and optimize software applications using modern programming languages and frameworks.
- Collaborate with product managers, designers, and engineers to translate requirements into technical specifications.
- Participate in code reviews and contribute to software quality, maintainability, scalability, and reliability.
- Apply AI-assisted engineering across requirements analysis, coding, testing, debugging, documentation, and operational monitoring.
- Evaluate AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness.
- Design and support data platforms and governed datasets for machine learning, analytics, and generative AI workloads.
- Contribute reusable prompts, skills, agents, playbooks, and AI-assisted development patterns.
- Ensure AI usage complies with intellectual property, security, privacy, PHI handling, and Responsible AI standards.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Proficiency in one or more programming languages such as C# or Python and relevant frameworks.
- Strong understanding of software design principles, algorithms, and data structures.
- Knowledge of Azure, AWS, or GCP and experience with data engineering technologies such as Spark, Databricks, or Microsoft Fabric.
- Knowledge of modern data engineering patterns including Data Vault, dimensional modeling, data products, lakehouse architecture, feature flags, event-driven systems, and DAGs.
- Familiarity with Git and collaborative coding workflows.
- Ability to write unit, integration, and end-to-end tests.
- Demonstrated experience using AI-assisted development platforms such as GitHub Copilot, Cursor, or Claude Code to deliver production work.
- Strong prompt engineering skills and experience with AI-assisted testing and AI-enabled delivery practices.
- Experience with machine learning data pipelines, vector search technologies, document processing pipelines, or AI data preparation techniques.
- Working knowledge of data governance, lineage, quality, and observability practices.
- Strong problem-solving, communication, collaboration, and independent working skills.
Benefits
- Flexible work/life balance and autonomy to organize work around personal needs.
- Comprehensive benefits, including health insurance benefits for qualifying employees.
- High-speed home internet over 10 Mbps is required; final interviews may require onsite attendance.
- Employment is subject to identity verification, a comprehensive background check, in-person I-9 verification, and possible drug screening.
Tech Stack
Categories
Data Engineering
About Evolent
Evolent is a public health care company that provides value-based care and specialty care management solutions to health plans and providers. Its platform combines clinical programs, software, and analytics to manage oncology, cardiology, musculoskeletal and other complex conditions, and supports payment models for Medicare Advantage, Medicaid and commercial plans. Founded in 2011 and headquartered in Arlington, Virginia, Evolent trades on the NYSE under the ticker EVH.