Data Engineer

System Automation Corporation

. Deliver successful implementation projects of SA’s Evoke™ platform for government agencies .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $100,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and integration, with a strong focus on ETL processes, data modeling, and API development. Proficient in utilizing data visualization tools and ensuring data integrity and security throughout migration projects.

Highest-signal resume keywords

ETL ProcessesData ModelingSQL and NoSQL DatabasesAPI DevelopmentData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData IntegrationETL ToolsSQLPythonData MappingData PipelinesAutomation SolutionsData Quality AssuranceData Security

Soft Skills

CollaborationProblem-SolvingCommunicationResearch SkillsTroubleshooting

Tools & Technologies

Power BITableauPostmanInsomniaGitAzureCloud-Based Data PlatformsSaaS EnvironmentsCI/CD PracticesAutomated Testing Frameworks

Industry Keywords

Government SaaS ImplementationsRegulatory SystemsAI-Driven Data Migration ToolsData WorkflowsData Integrity Standards

Tech Stack

Tools & technologies

AzureCloudETLNoSQLPythonSQLTableau

About the role

Key responsibilities & impact

Deliver successful implementation projects of SA’s Evoke™ platform for government agencies
Execute data and document migrations, including extraction, transformation, and loading (ETL)
Review data mapping documentation and contribute to conversion methodologies
Research and evaluate automated and AI-driven tools to improve data migration
Develop and deploy API-based and batch-based integration solutions
Guide customer data teams and internal consultants during data mapping
Gather data from multiple repositories and create models and visualizations supporting operations management
Design, build, and maintain scalable data pipelines and workflows
Ensure data integrity, quality, and security during migration and integration
Troubleshoot data-related issues during implementation and internal projects
Document processes, standards, and best practices
Collaborate with clients, internal teams, technical teams, and non-technical teams
Report to the Professional Services Manager

Requirements

What you’ll need

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
Strong understanding of ETL processes, data modeling, and SQL and NoSQL databases
Experience with APIs, batch processing, and integration frameworks
Familiarity with cloud-based data platforms and SaaS environments
Knowledge of Power BI, Tableau, or similar data visualization tools
Ability to research and implement automation and AI-driven solutions for data workflows
Proficiency in SQL and experience with ETL tools and scripting languages such as Python
Ability to design, consume, and troubleshoot RESTful APIs
Familiarity with Postman or Insomnia
Proficiency with Git
Understanding of encryption, secure data transfer, and compliance standards
Ability to optimize ETL processes and API calls for speed and scalability
Knowledge of automated testing frameworks for data pipelines and integrations
Familiarity with CI/CD practices for data engineering projects
Must reside in the U.S. only
Preferred: experience with government SaaS implementations or regulatory systems
Preferred: familiarity with AI-driven data migration tools
Preferred: Azure knowledge
Preferred: experience with data visualization and reporting tools
Final candidates must successfully complete a drug screening and fingerprint-based background investigation

Benefits

Comp & perks

Competitive Wages and Career Advancement
Health and Welfare options including medical, dental, and vision
Health savings accounts with company contributions
Flexible spending accounts
Dependent care
401(k) with company match
Continuing education program
Generous time off policy
Accrued sick leave
Parental leave
Regular virtual team activities
Profit Sharing Bonus
Commission plan eligibility
Conditional offer subject to successful drug screening and fingerprint-based background investigation