Job Description

Location: TX-Austin


What You’ll Be Doing

Cadmus seeks a Clean Energy Data Engineer with engineering and data analytics experience to join our Energy Services Division. This position applies engineering and analysis skills as a consultant to collect, process, and interpret data on complex systems under real-world conditions. We are looking for an analytical individual who is comfortable both interacting directly with clients to understand and document their energy systems, and working independently with large datasets to evaluate the performance of those systems.

The Decarbonization Solutions team in the Energy Services Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. We assist clients in quantifying the performance of energy efficiency projects, evaluating energy efficiency and clean energy programs, providing actionable insights for clients through engineering studies, analysis, and research, conducting project due diligence, providing measurement and verification for pilot studies, and providing other relevant technical expertise on a wide range of clean energy technologies. At Cadmus, you’ll collaborate with leading energy experts to help our clients across the globe incorporate renewable energy, reduce electricity consumption, improve distributed energy systems, and attain energy equity. From research and policy development to project implementation, our work supports the advancement of energy efficiency and distributed energy in the marketplace.

The clean energy technologies and analytics tools relevant to this role are constantly evolving and vary widely between projects. We do not expect you to already be familiar with every concept on every project, but are looking for inquisitive, creative team members who are excited to grow their career by continuously learning and trying new things.

Who We Are

At Cadmus, we recognize that solving the world’s most challenging problems can’t be accomplished alone or with cookie-cutter solutions. That’s why we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. On the Cadmus team, you’ll collaborate with leading experts to help our clients across the globe.

Cadmus’ mission is to deploy industry-leading expertise to help our clients achieve extraordinary results that strengthen society and the natural world. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and opportunities for professional growth. We are committed to advancing diversity and fostering a culture of equity in the workplace and across society, and we strive to maintain an inclusive environment where all employees feel connected, respected, and valued.

Join Cadmus. Let’s solve the world’s most challenging problems together.


  • Apply engineering knowledge to lead the development of data pipelines, collection tools, templates, and protocols for a diverse range of energy projects; collaborating with internal and external stakeholders to ensure products are clear to users and capture the necessary data points to support analysis deliverables.
  • Organize, clean, and analyze data using analytical techniques with software like Excel, Python, or R, and using Cadmus proprietary tools; identify and troubleshoot data quality issues.
  • Engage with internal and external clients to understand project needs, challenges, brainstorm new ideas and solutions, define analysis outputs, and report and present results, findings, and actionable recommendations.
  • Work under general guidance, demonstrate an initiative to develop approaches to solutions independently, review architecture, and identify areas for automation, optimization, and right-sizing, to support the overall health of the environment.
  • Take ownership of assigned tasks, communicate proactively to collaborate with interdisciplinary teams, and seek or offer guidance when appropriate.


  • Undergraduate or graduate degree in computer science, statistics, information systems, or engineering; or related scientific fields.
  • Five years of relevant work experience (master’s degree or undergraduate co-op experience in relevant field may be counted towards years of experience).
  • Experience managing, analyzing, and interpreting large datasets, including timeseries data, energy usage data, and renewable energy data, using one or more programming languages like Python (preferred), R, or Matlab.
  • Strong interest in energy efficiency, electrification, carbon reduction and mitigation technologies, and clean energy.
  • Experience collaborating with energy and data engineers and building productive cross-functional relationships.
  • Experience in managing multiple deliverables concurrently and prioritize workflows.
  • Excellent verbal and written communication skills, demonstrating the ability to communicate complex concepts to both technical and non-technical audiences.
  • Intermediate to advanced experience with Microsoft Excel, Word, and PowerPoint.
  • Active driver’s license (vehicle ownership not required).

Desired Qualifications:

  • Experience working with electric utilities, large energy consumers, and energy service providers.
  • Familiarity with common energy systems, including HVAC equipment, motor systems, electrical panels, lighting, and building management systems.
  • Experience analyzing AMI energy consumption data, electric tariffs, wholesale energy market data, and renewable energy data.
  • Familiarity with power and energy analysis techniques, such as regression models and bin analysis, cross-validation, and parameter tuning/optimization.
  • Working understanding of relational database concepts and experience writing SQL queries.
  • Experience developing data pipelines using cloud services like Databricks, Snowflake, SQL Server, and Azure Data Factory.
  • Experience with Power BI, Tableau, or other data visualization software.
  • Familiarity with project management practices and tools, including developing schedules, tracking budgets, and reviewing work products to ensure quality control.