E Source

Full-stack Engineer

• Design and develop secure, scalable cloud-native applications and services.
• Collaborate with product and engineering leadership on architecture and technical direction.
• Translate business requirements into practical technical solutions.
• Build AI-enabled applications, agents, and integrations using large language models and enterprise data.
• Develop APIs, microservices, and data-driven solutions.
• Promote software quality through testing, code reviews, and performance optimization.
• Mentor engineers and promote engineering best practices.
• Participate in technical planning, estimation, and delivery activities.

Senior Software Engineer

Data Scientist

• Define the vision, goals, and success metrics for Storm Insights
• Build and maintain the product roadmap and release plan
• Conduct market and competitive analysis to inform strategy
• Synthesize client feedback from the Client Success team into actionable product opportunities
• Align product plans with company strategy and portfolio priorities
• Own and maintain the Storm Insights product backlog
• Translate roadmap priorities and client use cases into epics, features, and user stories with clear acceptance criteria
• Collaborate with engineers, data scientists, and designers to plan and deliver each release
• Facilitate agile ceremonies (backlog grooming, sprint planning, reviews, retrospectives)
• Validate delivered functionality and coordinate user acceptance testing with Client Success
• Track delivery progress, dependencies, and risks, and communicate them to stakeholders

Product Manager/Product Owner, Data Science

Data Engineer

• Design, develop, and maintain data pipelines, infrastructure, and systems using AWS, Python, Databricks, Spark, and PostgreSQL
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Provide technical guidance and mentorship to junior data engineers
• Develop and implement data engineering standards and best practices
• Monitor and troubleshoot data pipelines to ensure data quality, integrity, and availability
• Research industry trends and evaluate new data technologies
• Build and maintain data lakes to support analytics and business intelligence
• Manage the software development life cycle and DevOps activities
• Partner with data scientists and analysts to deliver effective data solutions
• Develop data validation and data analysis tools

Data Engineer, Databricks

Engineer

• Analyze energy efficiency program data using Excel and other tools
• Evaluate and develop methodologies and algorithms to determine electric and fossil fuel savings for residential, commercial, and industrial energy efficiency technologies and programs
• Calculate energy and demand savings associated with prescriptive and custom energy efficiency measures implemented in residential, commercial, and industrial buildings
• Conduct on-site verification of energy efficiency measures
• Produce high-quality reports and presentations based on engineering methods and findings
• Support additional evaluation and research activities as assigned

Associate Engineer

Director

• Manage client relationships by identifying client needs, risks, and opportunities, and develop research and evaluation strategies and solutions to address them.
• Lead and contribute to the execution of research, evaluation, and advisory projects to ensure client satisfaction.
• Develop research and evaluation solutions that follow industry best practices and apply innovations in research methodology.
• Lead multidisciplinary project teams to deliver work that meets defined objectives and client expectations.
• Ensure project scopes, schedules, and budgets are executed successfully and in alignment with contract requirements.
• Communicate complex technical content, including research methodology and findings, to both technical and non-technical audiences.
• Support quality assurance by helping establish review processes and staffing approaches.
• Conduct quality-control reviews of analyses, reports, presentations, and memos to ensure findings are clear, logical, and actionable.
• Author client-facing memos, reports, and presentations.
• Design and lead qualitative research projects, including in-depth interviews, focus groups, and other qualitative methods, and synthesize findings into clear, actionable recommendations.
• Design and lead quantitative research projects, including surveys, statistical analysis, and data collection and analysis, and translate findings into clear, actionable recommendations.
• Supervise and mentor junior consulting staff to support their professional growth and advancement.

Associate Director, Customer Energy Solutions

AI Engineer

• Collaborate with cross-functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models.
• Build reusable Python packages to support the implementation of ML/AI algorithms and data-processing pipelines.
• Contribute to the design of AI systems, including components for retrieval-augmented generation (RAG), LLM integration, and agent-based workflows.
• Develop agentic evaluation and monitoring frameworks to assess model reasoning, consistency, and fairness.
• Evaluate database design and create optimized performance queries for efficient data processing and retrieval.
• Break down complex MLE and AI tasks into manageable user and technical stories, ensuring efficient and effective implementation.
• Ensure high-quality test coverage of ML code and participate in peer reviews to provide valuable recommendations.
• Stay updated on the latest advances in machine learning engineering, generative AI, and AI system orchestration, and incorporate relevant practices into our workflows.
• Contribute to continuous delivery and Agile development processes, adhering to best practices in ML and AI engineering.

Senior Software Engineer

Product Manager/Product Owner, Data Science

Data Engineer, Databricks

Associate Engineer

Associate Director, Customer Energy Solutions

AI/ML Engineer