Data Engineer

🕒 April 24

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System Automation Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1973

☁️ SaaS

🏛️ Government

📋 Compliance

SaaS • Government • Compliance

System Automation Corporation is a company offering a SaaS, low-code application platform known as Evoke. This platform supports digital transformation through enterprise regulatory systems tailored for regulatory agencies and public sector needs. Evoke provides comprehensive licensing and regulation management as well as records management capabilities, aimed at modernizing operations and improving productivity for government agencies. Known for rapid deployment and high configurability, System Automation enhances the efficiency of regulatory operations, enabling secure cloud solutions for the public sector.

📋 Description

• 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.

🎯 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. • Preferred 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

• Uncapped PTO + flexible work environment • Health and Welfare options to include (medical, dental, and vision) health savings account with company contributions, medical flexible spending, and dependent care. • 401(k) with company match • Continuing education program