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[Remote] Lead Data Engineer

Remote Full-time Now Hiring

Note: The job is a remote job and is open to candidates in USA. RMI is transforming the global energy system to secure a clean, prosperous, zero-carbon future for all. The Lead Data Engineer will support the Data and AI Engineering team by developing data pipelines, cloud infrastructure, databases, and AI-enhanced applications while collaborating with technical and 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 (i.e., MCP servers, APIs) for general purpose AI tools (i.e., 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

  • 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 (e.g., OpenAI, Anthropic) 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
  • All candidates must have current, independent authorization to work in the U.S. without present or future sponsorship from RMI
  • This role can be located from anywhere in the continental United States
  • Be ready to travel for occasional in-person meetings (and of course, we cover travel costs)
  • Hands-on experience with Azure cloud services (Azure SQL, Azure Functions, Azure Blob Storage, or similar)
  • Familiarity with ETL/ELT concepts and data pipeline design patterns
  • Experience with data modeling best practices
  • Experience building lightweight internal web tools or APIs
  • Experience with data visualization tools such as Power BI
  • Familiarity with Salesforce, Workday, or similar enterprise data sources, especially working with their APIs
  • Experience working in a non-profit environment
  • Demonstrated interest in energy, climate, or sustainability sectors

Benefits

  • Medical, dental, vision insurance
  • 403b retirement match with immediate vesting
  • Group life, AD&D, and short- and long-term disability
  • Optional voluntary life, AD&D and accident plans
  • Health savings or flexible spending accounts
  • Fertility and hormonal health support
  • Mental health and wellness support
  • Comprehensive leaves of absence (including generous parental leave)
  • Generous paid time off and sick leave
  • Paid sabbatical leave
  • Regional holidays with at least one extended break in each geography
  • Work from home and home technology allowances
  • Learning & development opportunities (LinkedIn Learning and an annual individual professional development budget)
  • Potential for bonuses and merit increases
  • Discount marketplace (gym memberships, pet insurance, etc.)
  • Hybrid / remote work options
  • Team retreats and geographic meetups
  • Rewards and recognition programs
  • Essential IT equipment
  • A one-time home technology payment
  • A monthly work from home/commuter allowance
  • Travel costs for occasional in-person meetings are covered

Company Overview

  • Rocky Mountain Institute (RMI) is an independent, nonpartisan nonprofit founded in 1982 that transforms global energy systems through market-driven solutions to secure a prosperous, resilient, clean energy future for all. It was founded in 1982, and is headquartered in Snowmass, Colorado, USA, with a workforce of 501-1000 employees. Its website is http://rmi.org.