Note: The job is a remote job and is open to candidates in USA. System Automation Corporation is hiring a Data Engineer to implement its Evoke™ platform for government agencies. The role leads customer-facing data and document migrations, integrations, and internal data initiatives, while supporting accurate, secure data processing and exploring automation and AI-driven tools.
Responsibilities
- Execute data and document migrations for Evoke™ platform implementations, including data extraction, transformation, and loading (ETL) into Evoke solutions
- Review data mapping documentation and contribute to the design of conversion methodologies that enable accurate and efficient data transformation and loading
- Research and evaluate automated and AI-driven tools to enhance data migration processes, championing adoption within the organization
- Develop and deploy integration solutions for Evoke™ platform projects, including API-based and batch-based data imports and exports
- Provide input and guidance to customer data teams and internal consultants during data mapping activities, ensuring alignment with migration and integration requirements
- Collaborate with internal teams to gather data from multiple repositories and create models and visualizations that support operations management
- Design, build, and maintain scalable data pipelines and workflows to ensure efficient data processing
- Ensure data integrity, quality, and security throughout migration and integration processes
- Troubleshoot and resolve data-related issues during implementation and internal projects
- Document processes, standards, and best practices for data engineering and integration activities
Skills
- Strong understanding of ETL processes, data modeling, and database technologies (SQL and NoSQL)
- Experience with APIs, batch processing, and integration frameworks
- Familiarity with cloud-based data platforms and SaaS environments
- Knowledge of data visualization tools (e.g., Power BI, Tableau) and ability to create actionable insights
- Strong analytical and problem-solving skills with attention to detail
- Ability to research and implement automation and AI-driven solutions for data workflows
- Excellent communication and collaboration skills across technical and non-technical teams
- Ability to adapt quickly to shifting priorities and project requirements
- Bachelor's degree in computer science, data engineering, data science or related field, or equivalent experience
- 4+ years of experience in data engineering, data integration, or similar roles
- Proficiency in SQL and experience with ETL tools and scripting languages (e.g., Python)
- RESTful API Knowledge: Ability to design, consume, and troubleshoot RESTful APIs for data integration
- API Testing Tools: Familiarity with tools like Postman or Insomnia for testing and validating API endpoints
- Version Control: Proficiency with Git for managing code and configuration changes
- Data Security and Compliance: Understanding of encryption, secure data transfer, and compliance standards
- Performance Optimization: Ability to optimize ETL processes and API calls for speed and scalability
- Testing and Validation: Knowledge of automated testing frameworks for data pipelines and integrations
- CI/CD for Data Workflows: Familiarity with continuous integration and deployment practices for data engineering projects
- Experience with government SaaS implementations or regulatory systems
- Familiarity with AI-driven data migration tools
- Azure knowledge
- Experience with data visualization and reporting tools
Benefits
- Commission plan
- Profit sharing
- Career advancement
- Health and welfare options, including medical, dental, and vision
- Health savings accounts with company contributions
- Flexible spending and dependent care
- 401(k) with company match
- Continuing education program
- Generous time off policy, accrued sick and parental leave
- Regular virtual team activities
- Fully remote work (must reside in the U.S. only)
Company Overview
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