Data Engineer

System Automation Corporation; United States; Remote; USD 100,000 - 120,000; Full time

Benefits offered by this job

Competitive wages

Career advancement

Health, dental, vision

401(k) with company match

Continuing education

Generous time off

Profit sharing

Job summary

System Automation (SA) seeks an experienced Data Engineer to drive data migrations and integration projects for the Evoke platform. You will work closely with client teams to ensure accurate transformations and scalable pipelines.

You will evaluate AI-driven and automated tools to optimize data migration workflows, while maintaining data integrity and security across environments. Remote-friendly role within the U.S.

Qualifications

• Bachelor’s degree or equivalent experience in computer science, data engineering, data science or related field.
• 4+ years of experience in data engineering, data integration, or related roles.
• Proficiency in SQL and ETL tools; scripting languages like Python.

Responsibilities

• Execute data and document migrations for Evoke platform implementations, including ETL.
• Review data mapping docs and design conversion methodologies.
• Research and evaluate AI-driven tools to enhance migrations.

Skills

ETL processes

Data modeling

SQL/NoSQL

APIs

Batch processing

Cloud data platforms

Power BI/Tableau

Analytical thinking

Automation/AI

Communication

Adaptability

Education

Bachelor’s degree in CS / Data Engineering or related field

Tools

Power BI

Tableau

Git

Job description

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.

Job Type

Full‑time

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.

Remote Work Eligibility

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

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.


• Azure knowledge.


• Experience with data visualization and reporting tools.

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.

Salary Description

100,000 - 120,000