Data Engineer

System Automation Corporation; United States; Remote; USD 100.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive wages

Health and welfare benefits (medical,

401(k) with company match

Zusammenfassung

System Automation Corporation seeks an experienced Data Engineer to drive data migrations, ETL, and integration projects for the Evoke platform used by government agencies. This customer-facing role emphasizes communication with clients and cross-team collaboration.

You will design scalable data pipelines, ensure data integrity and security, and contribute to AI-driven automation initiatives while working remotely within the United States.

Qualifikationen

• Bachelor’s degree or equivalent experience in CS/data eng.
• 4+ years in data engineering, data integration, or similar roles.
• Proficiency in SQL and ETL tools; scripting in Python.
• Experience with RESTful APIs, testing tools (Postman/Insomnia).
• Git for version control; data security and compliance awareness.

Aufgaben

• Execute data and document migrations for Evoke platform implementations (ETL).
• Design conversion methodologies for data transformation and loading.
• Evaluate AI-driven tools to enhance data migrations and adoption.
• Develop and deploy integration solutions (API-based and batch).
• Collaborate with customer data teams and internal consultants on data mapping.

Kenntnisse

ETL processes

Data modeling

SQL

NoSQL

APIs

Python

RESTful APIs

API testing

Ausbildung

Bachelor’s degree in computer science or related field

Tools

Postman

Insomnia

Git

CI/CD tools

Jobbeschreibung

Job Type

Full-time

Description

We're looking for an experienced Data Engineer. The Data Engineer will play a critical role in delivering successful implementation projects of SA’s Evoke™ platform for government agencies. This is a customer-facing position that requires exceptional communication skills to engage with clients, understand their needs, and ensure seamless execution. Responsibilities include managing data and document migrations, deploying integration solutions, and supporting internal data initiatives. The ideal candidate combines strong technical expertise in data engineering with a passion for automation and AI-driven tools, and excels at collaborating across teams and with clients to deliver high-quality, impactful solutions.

Reports to

Professional Services Manager

Compensation

$100,000 - $120,000 Base salary commensurate with experience. This role is eligible for the company’s commission plan and profit sharing.

ABOUT THE COMPANY

System Automation (SA) has built solutions for state and local regulatory agencies for over twenty-five years. Our SaaS platform is trusted by 500 government agencies, spans 5,000 industries, and serves over 20 million licensees.

Our mission is to positively disrupt the regulatory software market by incubating new ideas, collaborating with our customers, and building technology with real-world impact. We challenge the status quo, aren't afraid to experiment, and build products that improve the states and cities we live in.

We will consider qualified candidates to work fully remote (must reside in the U.S. only).

Requirements

What You’ll Do

• 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.

Qualifications

Knowledge, Skills, and Abilities

• Strong understanding of ETL processes, data modeling, and database technologies (SQL and NoSQL).
• Experience with APIs, batch processing, and integration frameworks.
• Familiarity with cloud-based data platforms and SaaS environments.
• Knowledge of data visualization tools (e.g., Power BI, Tableau) and ability to create actionable insights.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to research and implement automation and AI-driven solutions for data workflows.
• Excellent communication and collaboration skills across technical and non-technical teams.
• Ability to adapt quickly to shifting priorities and project requirements.

Required

• 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).
• RESTful API Knowledge: Ability to design, consume, and troubleshoot RESTful APIs for data integration.
• API Testing Tools: Familiarity with tools like Postman or Insomnia for testing and validating API endpoints.
• Version Control: Proficiency with Git for managing code and configuration changes.
• Data Security and Compliance: Understanding of encryption, secure data transfer, and compliance standards.
• Performance Optimization: Ability to optimize ETL processes and API calls for speed and scalability.
• Testing and Validation: Knowledge of automated testing frameworks for data pipelines and integrations.CI/CD for Data Workflows: Familiarity with continuous integration and deployment practices for data engineering projects.

Preferred

• Experience with government SaaS implementations or regulatory systems.
• Familiarity with AI-driven data migration tools.
• Experience with data visualization and reporting tools

WHAT TO EXPECT

Hiring Process:

Application review -- interviews and technical assessment -- conditional offer

What do you receive by joining our team?

• Competitive Wages and Career Advancement
• Health and Welfare options include (medical, dental, and vision), health savings accounts with company contributions, flexible spending, and dependent care.
• 401(k) with company match
• Continuing education program
• Generous time off policy, accrued sick and parental leave
• Regular virtual team activities
• Profit Sharing Bonus

Security Screening:

Due to the sensitive nature of IT systems and data access, final candidates will receive a conditional employment offer contingent upon successful completion of a drug screening and a fingerprint-based background investigation.

Technology-Assisted Tools:

We may use technology-assisted tools, including artificial intelligence tools, to assist recruiters and hiring managers in reviewing application materials and identifying qualifications relevant to a position. These tools support, but do not replace human decision-making. All employment decisions are made by qualified human reviewers. Applicants requiring accommodation during the application or selection process may contact us at [e-mail].

EEO:

We are an Equal Opportunity Employer and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable law.