
Data Engineer
System Automation Corporation
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $100,000 - $120,000 per year
About the role
- 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)
- Ability to design, consume, and troubleshoot RESTful APIs for data integration
- Familiarity with tools like Postman or Insomnia for testing and validating API endpoints
- Proficiency with Git for managing code and configuration changes
- 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 continuous integration and deployment practices for data engineering projects
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
- Dependent care
- 401(k) with company match
- Continuing education program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data migrationETLSQLPythonRESTful APIsdata pipelinesdata integrationautomated testing frameworksdata transformationdata modeling
Soft Skills
collaborationtroubleshootingguidancecommunicationproblem-solving