The Role
Develops and maintains SQL-based data pipelines, ETL processes, migrations, EDI 834 benefit files, custom reports, and dashboards. Builds AI-powered skills, agents, automations, and MCP integrations with secure access to internal data. Manages Azure DevOps work items, supports compliance and data security, collaborates with technical and non-technical stakeholders, and delivers reliable client solutions.
Summary Generated by Built In
Role Summary
The Data Engineer I develops, via using AI and SQL, and maintains robust data pipelines, manages data migrations and ETL processes, and delivers custom reporting solutions for Greenshades clients. When solutioning, AI is at the forefront of the options considered when building solutions. This role combines deep technical expertise in data integration and file construction with hands-on compliance support for custom report deliverables. The Data Engineer I collaborates cross-functionally, manages work through an Azure DevOps Kanban board, and ensures data flows reliably across systems to meet both client and regulatory requirements.Responsibilities
- EDI 834 & Ancillary File Development: Build, test, and maintain EDI 834 benefit enrollment files and associated ancillary file formats, ensuring accuracy and compliance with carrier and trading partner specifications.
- Custom Reporting: Create custom reports and dashboards to provide actionable insights to internal and client stakeholders. Includes but not limited to retirement reports, HSA and Benefit file feed creation, as well as WOTC, and related reports.
- Azure DevOps Kanban Management: Manage and track project work items using an Azure DevOps Kanban board, maintaining accurate status updates and prioritization throughout the project lifecycle.
- Collaboration: Work closely with clients and internal teams to understand data requirements and deliver solutions that meet their needs.
- Security and Compliance: Ensure data security and adherence to relevant regulations and industry best practices.
- AI & Agent Development: Design, build, and maintain LLM-powered skills, agents, and automations that accelerate data pipeline, file build, and reporting work, including prompt design, tool integrations, and testing of agent output for accuracy.
- AI Integration & Enablement: Set up and maintain Model Context Protocol (MCP) servers and connectors that give AI agents secure, governed access to internal data sources and tools, and document reusable patterns for the team.
- Other duties as assigned.
Requirements
- 2+ years of experience with ETL and data migration processes in a SQL-focused role
- 2+ years’ experience of proficiency in T-SQL and SQL Server Management Studio (SQL Server 2012+, SSRS, SSIS)
- 1+ years’ experience of hands-on building or working with EDI 834 files and ancillary benefit enrollment formats
- 1+ years’ experience managing work items and project tasks using Azure DevOps Kanban boards
- Strong proficiency in Excel and experience with object-oriented programming
- Experience with common scripting languages
- 1+ years’ experience working with large language models (LLMs) such as Claude, GPT, or similar, including prompt engineering and structured output techniques
- 1+ years’ experience building AI skills and agents, including defining tools/functions, orchestrating multi-step agent workflows, and evaluating agent output for accuracy and reliability
- 1+ years’ experience configuring or developing Model Context Protocol (MCP) servers or similar AI tool-integration frameworks, including authentication, permissions, and connecting agents to databases and APIs
- Understanding of responsible AI practices for sensitive data, including data privacy, access controls, and human review of AI-generated output
- Familiarity with Oracle SQL*Plus is a plus
- Ability to communicate effectively between technical and non-technical stakeholders
- Experience with Jira, GitHub, and Confluence
- BS/BA in Computer Science or related field preferred
- Excellent problem-solving skills, attention to detail, and ability to work independently and as part of a team
This is a remote position.
Skills Required
- 2+ years of experience with ETL and data migration processes in a SQL-focused role
- 2+ years of proficiency in T-SQL and SQL Server Management Studio, including SQL Server 2012+, SSRS, and SSIS
- 1+ year of experience building or working with EDI 834 files and ancillary benefit enrollment formats
- 1+ year of experience managing work items and project tasks using Azure DevOps Kanban boards
- Strong proficiency in Excel
- Experience with object-oriented programming
- Experience with common scripting languages
- 1+ year of experience working with LLMs such as Claude or GPT, including prompt engineering and structured output techniques
- 1+ year of experience building AI skills and agents, including tool and function definition, multi-step workflow orchestration, and output evaluation
- 1+ year of experience configuring or developing MCP servers or similar AI tool-integration frameworks
- Understanding of responsible AI practices for sensitive data, including privacy, access controls, and human review
- Familiarity with Oracle SQL*Plus
- Ability to communicate effectively with technical and non-technical stakeholders
- Experience with Jira, GitHub, and Confluence
- BS/BA in Computer Science or a related field
- Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively
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The Company
What We Do
Greenshades delivers in-house payroll, HR, and tax solutions that integrate directly with your ERP—no outsourcing required. Our platform supports complex payroll and compliance scenarios, including shift differentials, multi-jurisdictional taxes, and garnishments, with automated checks and expert-backed accuracy. By blending in-house control with cloud-based flexibility, Greenshades tailors the payroll experience to your business processes—adapting effortlessly to your unique needs and existing technology infrastructure. Explore how Greenshades can streamline your payroll journey.
