About this role
Reports to: Professional Services Manager
Location: 100% Remote
Compensation: $100,000 - $120,000 Base salary commensurate with experience. This role is eligible for the company’s commission plan and profit sharing.
Who we are:
System Automation (SA) is a software vendor based in Columbia, Maryland, with a focus on providing systems that support government regulatory management operations.
Founded in the District of Columbia in 1968 and originally contracted to develop and support the US Army recruiting system (contract held for 42 years), SA has since become an industry leader in designing, developing, implementing, and maintaining comprehensive information management applications for government regulatory agencies across the country. Our licensure experience began in 1994, providing the Maryland Board of Nursing a licensing solution and has since evolved to support many regulatory needs, including licensing, permitting, enforcement, inspections, investigations, case management, online payments, public verification, robust reporting, online self-service for applicants and license seekers, and paperless regulatory operations.
For nearly three decades, SA has built a solid track record of demonstrable success, delivering SaaS licensure and compliance solutions to government regulatory agencies. SA is currently supporting state government agencies, licensing boards, and other regulatory operations in 22 states for nearly 800 different professions, occupations, and industries.
With SA’s current launch of Evoke, the only cloud-native, low-code application platform purposely designed for regulatory management, infusing SA’s decades of professional licensing expertise, it’s an exciting time for growth!
About the Role:
The Data Engineer will play a critical role in delivering successful implementation projects of SA’s Evoke™ platform for government agencies. This is a customer-facing position that requires exceptional communication skills to engage with clients, understand their needs, and ensure seamless execution. Responsibilities include managing data and document migrations, deploying integration solutions, and supporting internal data initiatives. The ideal candidate combines strong technical expertise in data engineering with a passion for automation and AI-driven tools, and excels at collaborating across teams and with clients to deliver high-quality, impactful solutions.
What You’ll Do
- 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.
Qualifications
Knowledge, Skills, and Abilities
- 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.
Required
- 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.
Why Join Us?
- Agile team working in a fast-paced environment, solving complex problems with high customer impact
- A mission-driven GovTech company delivering real-world results
- Uncapped PTO + flexible work environment
- Career growth into senior engineering leadership
- 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
What to Expect:
Hiring Process:
Application review ? interviews and technical assessment ? conditional offer
Security Screening:
Due to the sensitive nature of IT systems and data access, final candidates will receive a conditional employment offer contingent upon successful completion of a drug screening and a fingerprint-based background investigation.
At System Automation, we are focused on making peoples’ lives in the cloud easier through innovative products built by passionate employees. We are looking to add talented, motivated people to our team to help achieve this mission through the engineering, support, and delivery of our revolutionary Evoke platform.
If you want to help innovate and streamline usage of the newest tech in the cloud, you’ve come to the right place. Apply below and we’ll be in touch shortly!