Data Engineer

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $100k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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System Automation Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1973

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

System Automation Corporation is a company offering a SaaS, low-code application platform known as Evoke. This platform supports digital transformation through enterprise regulatory systems tailored for regulatory agencies and public sector needs. Evoke provides comprehensive licensing and regulation management as well as records management capabilities, aimed at modernizing operations and improving productivity for government agencies. Known for rapid deployment and high configurability, System Automation enhances the efficiency of regulatory operations, enabling secure cloud solutions for the public sector.

📋 Description

• 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

• 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

• 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