Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Successfully implement projects utilizing SA’s Evoke™ platform for government agencies.

• Perform data and document migrations, focusing on extraction, transformation, and loading (ETL).

• Analyze data mapping documentation and contribute to methodologies for conversion.

• Investigate and assess automated and AI-driven tools to enhance data migration processes.

• Create and implement API-based and batch-based integration solutions.

• Assist customer data teams and internal consultants in the data mapping process.

• Collect data from various repositories and develop models and visualizations to support operations management.

• Design, construct, and maintain scalable data pipelines and workflows.

• Ensure the integrity, quality, and security of data during migration and integration activities.

• Address data-related challenges during implementation and internal projects.

• Document processes, standards, and best practices comprehensively.

• Collaborate effectively with clients, internal teams, technical staff, and non-technical personnel.

• Report directly to the Professional Services Manager.

⛳️ Requirements

• Bachelor’s degree in computer science, data engineering, data science, or a related field, or equivalent practical experience.

• Over 4 years of experience in data engineering, data integration, or comparable roles.

• Strong grasp of ETL processes, data modeling, and both SQL and NoSQL databases.

• Experience with APIs, batch processing, and integration frameworks.

• Familiarity with cloud-based data platforms and SaaS environments.

• Knowledge of data visualization tools such as Power BI, Tableau, or similar.

• Capability to research and implement automation and AI-driven solutions for data workflows.

• Proficiency in SQL and experience with ETL tools and scripting languages, including Python.

• Ability to design, utilize, and troubleshoot RESTful APIs.

• Familiarity with Postman or Insomnia.

• Proficient with Git.

• Understanding of encryption, secure data transfer, and compliance standards.

• Skill in optimizing ETL processes and API calls for efficiency and scalability.

• Knowledge of automated testing frameworks for data pipelines and integrations.

• Familiarity with CI/CD practices applicable to data engineering projects.

• Must be a U.S. resident.

• Preferred: experience with government SaaS implementations or regulatory systems.

• Preferred: familiarity with AI-driven data migration tools.

• Preferred: knowledge of Azure.

• Preferred: experience with data visualization and reporting tools.

• Final candidates are required to successfully complete a drug screening and fingerprint-based background investigation.

🏝️ Benefits

• Competitive wages and opportunities for career advancement.

• Health and welfare options, including medical, dental, and vision coverage.

• Health savings accounts with company contributions.

• Flexible spending accounts available.

• Dependent care support.

• 401(k) plan with company matching.

• Continuing education program offered.

• Generous time off policy.

• Accrued sick leave.

• Parental leave provided.

• Regular virtual team activities to engage employees.

• Profit sharing bonus opportunity.

• Eligibility for commission plans.

• Conditional offer subject to successful drug screening and fingerprint-based background investigation.