System Automation Corporation

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

Tech Stack

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