Snowflake and Databricks SW Engineer Contract to Hire

Hybrid in Washington D.C., DC, US • Posted 30+ days ago • Updated 2 days ago
Contract W2
6 Months
No Travel Required
Hybrid
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • SQL
  • Unix Shell
  • Testing
  • LangChain
  • Snowflake
  • Databricks

Summary

Candidates must reside within a commutable distance to Washington, D.C.

Vega is Hiring! SW engineer with Ai, Snowflake and Databricks (or a similar technology).  SQL, Unix Shell experience. This is an opportunity to join a team and drive innovation in AI-powered test automation. This role focuses on building and maintaining intelligent test automation infrastructure on AWS with emphasis on self-healing scripts and AI-driven testing solutions.

W2 Candidates - Must be eligible for direct perm employment. Sponsorship is not available.

Key Responsibilities

  • Snowflake and Databricks or a similar technology is preferred.
  • Design, develop, and maintain automated test scripts and frameworks
  • Deploy and congure reliable automation assets in CloudBees CI/CD pipelines
  • Troubleshoot and resolve technical issues with automation infrastructure
  • Create AI-based automation solutions using AWS Bedrock and frameworks like LangChain
  • Integrate AI agents and solutions with existing automation platforms
  • Implement self-healing test scripts and Intelligent Test Automation (ITA) strategies
  • Apply context engineering to ensure AI-driven testing relevance and coverage

Required Technical Skills Programming Languages: Python, JavaScript/TypeScript, Snowflake and Databricks or a similar technology.  SQL, Unix Shell

  • AI/ML Frameworks: AWS Bedrock, LangChain, Pandas, and other popular Machine Learning libraries
  • Test Automation: Selenium, Playwright, API testing frameworks
  • Cloud & DevOps: AWS services, Docker, Kubernetes, Git
  • CI/CD: CloudBees, Jenkins, pipeline automation Infrastructure: Test environment setup and maintenance

Key Qualifications

  • Bachelor's degree in Computer Science, IT, or related eld
  • 5+ years of experience in software Development and testing and test automation
  • Proven experience with AI tools for test generation, refactoring, and self-healing Strong understanding of DevOps practices and CI/CD pipelines
  • Experience building and scaling testing agents
  • Knowledge of context engineering for AI-driven testing

Preferred Skills

  • Experience with modern testing frameworks such as Selenium and or Playwrite
  • Background in machine learning or AI applications
  • Experience with microservices and containerized applications

Soft Skills

  • Strong analytical and problem-solving abilities
  • Excellent communication and collaboration skills
  • Adaptability to rapidly evolving AI and automation technologies
  • Strategic thinking with focus on testing efciency and coverage Self-motivated with ability to work independently

What We Offer

  • Opportunity to work with cutting-edge AI and automation technologies
  • Collaborative environment focused on innovation Professional development in AI/ML and cloud technologies
  • Must be local to DMV area.

Select Apply Now - and a Vega Staffing Specialist will reach out to you.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: vega
  • Position Id: 49484
  • Posted 30+ days ago

Company Info

About Vega Consulting Solutions

Vega Consulting is a recruitment-oriented IT consulting firm. We specialize in contract, contract-to-hire, and permanent IT placement. Our firm has a coast-to-coast presence and currently conducts business with government and commercial entities in 28 states. Utilizing a proprietary recruiting methodology called V*STAR, we offer clients a decisive competitive advantage. We save our clients time and money, preventing them from having to search through unqualified resumes



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