Data Engineer I

Remote

Pay: Pay not listed
Work setting: Remote — work setting source
Excellent problem-solving skills, attention to detail, and ability to work independently and as part of a team This is a remote position.
Listed location: Remote
Read the full posting
Employment: Not stated

Before you apply

New graduates: Entry levelThe Data Engineer I develops

What you’ll work on

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.

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.

Build, test, and maintain EDI 834 benefit enrollment and ancillary files
Create custom reports and dashboards, including retirement, HSA and WOTC reports
Build and maintain LLM-powered agents and automations for pipeline and reporting work
Set up and maintain MCP servers that give AI agents governed access to data
Track project work on an Azure DevOps Kanban board

From the employer’s posting

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.

Build, test, and maintain EDI 834 benefit enrollment files and associated ancillary file formats

Create custom reports and dashboards to provide actionable insights to internal and client stakeholders.

Design, build, and maintain LLM-powered skills, agents, and automations that accelerate data pipeline, file build, and reporting work

Set up and maintain Model Context Protocol (MCP) servers and connectors that give AI agents secure, governed access to internal data sources and tools

Manage and track project work items using an Azure DevOps Kanban board

What you’ll bring

All qualifications

Core experience

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

Preferred experience

Familiarity with Oracle SQL*Plus is a plus

Qualification wording

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

Familiarity with Oracle SQL*Plus is a plus

Apply at Greenshades

Posting record

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Status in our records: Live
First seen by us: Oct 30, 20265 days ago
Recorded sightings: 5
Last seen by us: Nov 3, 2026
Reposted: once since Oct 22, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 5

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Greenshades is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

100% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
Azure
Excel
Oracle
SQL Server
SSRS

Where the posting names them

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.

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)

- 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

- 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

- 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.

- 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

- 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

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Your next step

Complete your application on greenshadessoftware.applytojob.com. The employer’s form will show what is required.

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Has Greenshades posted this job before?

Yes. We’ve followed one other Data Engineer I job there since October 2026. It came down after 6 days.

Place not statedCame down after 6 days, first seen Oct 22
This jobUp 6 days so far, first seen Oct 30

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

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