Senior Data Engineer - AI-Driven Pipelines (Remote)

RMI; Northern (KY); Hybrid; USD 94,000 - 116,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401k retirement match

Paid time off

Hybrid/remote options

Team retreats

Job summary

RMI is building a Data and AI Engineering team to enhance access to internal and external data sources. The Lead Data Engineer will develop pipelines, manage Azure resources, and support AI-enabled applications, collaborating with a multi-disciplinary team.

The role requires Python and SQL skills, experience with relational databases, and familiarity with LLM APIs and MCP servers. Applicants should be comfortable in a remote-ready setup with travel as needed.

Qualifications

• 3-5 years of professional or internship experience in data engineering, data science, or a related field.
• Proficiency in Python for data processing, scripting, and automation.
• Working knowledge of R for data analysis and statistical tasks.
• Familiarity with Git or similar version control technology.
• Working knowledge of integrating LLM APIs into data workflows or applications, including via MCP servers.
• Experience writing SQL queries and working with relational databases.
• Exposure to cloud-based data workflows; familiarity with Microsoft Azure is a plus.
• Comfort working across multiple projects simultaneously in a collaborative, evolving environment.
• Strong written and verbal communication skills, including the ability to collaborate with non-technical stakeholders.

Responsibilities

• Support the development and maintenance of data ingestion pipelines between internal business systems (e.g., Workday, Salesforce).
• Support the development of internal AI-enhanced applications, integrating LLMs via API and MCP.
• Assist in building and maintaining relational databases, including MySQL and PostgreSQL schemas, to support internal dashboards, applications, and reporting.
• Help implement data reliability and monitoring features across existing data flows.
• Deploy and manage Azure cloud resources (database, storage, web app, function app) based on project needs and templates defined by senior staff.
• Assist with the development testing, and deployment of various connectors for general purpose AI tools (e.g., ChatGPT, Claude).
• Write clean, reusable code primarily in Python and R to automate data processing tasks and support analytical workflows.
• Collaborate with operations staff and non-technical stakeholders to develop a strong working knowledge of data processes and upstream/downstream impact.
• Assist in migrating siloed or manual data processes into centralized, accessible systems.
• Work with the IT team to ensure security and fidelity of cloud data services.

Skills

Python

SQL

Git

Azure

LLM APIs

ETL/ELT

R

MCP servers

Tools

MySQL

PostgreSQL

Azure

MCP servers

Workday

Salesforce

Power BI

Job description

RMI is building a Data and AI Engineering team to enhance access to internal and external data sources. The Lead Data Engineer will develop pipelines, manage Azure resources, and support AI-enabled applications, collaborating with a multi-disciplinary team.

The role requires Python and SQL skills, experience with relational databases, and familiarity with LLM APIs and MCP servers. Applicants should be comfortable in a remote-ready setup with travel as needed.