Research Engineer - Energy Markets

East Daley Analytics•Greenwood Village, CO

1d•$75,000 - $85,000•Onsite

About The Position

East Daley Analytics is seeking a resourceful Research Engineer to support its Equity Research team. This role involves working directly with analysts to understand their workflows, identify areas for improvement, and build tools using Python, SQL, AI, and proprietary energy data. The goal is to increase the speed, quality, and depth of their research. The ideal candidate is a problem-solver who can learn the business context, find data, create practical solutions, and explain their significance. This position offers the opportunity to work with unique energy market data, own projects end-to-end, and influence how AI is used in equity research.

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, Finance, Geology, Energy, or a related field
Practical experience using Python and SQL to solve real analytical or operational problems
Demonstrated use of generative AI to improve a technical, analytical, or software-development workflow
Understanding of relational databases, data transformations, joins, and structured data
Demonstrated ability to turn an ambiguous problem into a working technical solution
Experience turning raw data into a useful tool, model, application, or analytical product
Strong critical-thinking skills and a willingness to investigate why results do not reconcile
Evidence of resourcefulness, ownership, and independent learning
Ability to communicate technical findings clearly to non-technical audiences
Strong written and verbal communication skills
Proficiency with Microsoft Excel and PowerPoint

Nice To Haves

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, Finance, Geology, Energy, or a related field
Experience with pandas, NumPy, Git, APIs, web scraping, orchestration, or automated data pipelines
Experience building internal tools, lightweight applications, dashboards, or analytical products
Experience with AI coding assistants, agentic development tools, model APIs, retrieval systems, structured outputs, or automated evaluations
Experience building repeatable AI-enabled workflows rather than relying on one-time prompts
Experience with Tableau, Power BI, Plotly, or similar visualization tools
Experience with Excel automation, Power Query, or VBA
Familiarity with financial statements, company modeling, investment analysis, or equity research
Familiarity with natural gas, crude oil, NGLs, midstream infrastructure, or broader energy markets
Familiarity with SEC, FERC, EIA, pipeline, production, or regulatory data
Experience working with large, messy, disconnected, or imperfect datasets
Familiarity with machine-learning methods and applied model evaluation

Responsibilities

Work directly with Equity Research analysts to understand their workflows, identify recurring bottlenecks, and determine where technology can improve speed, quality, and analytical depth.
Own solutions from problem definition through development, testing, deployment, adoption, and iteration.
Build tools and automations that reduce manual data work and allow analysts to spend more time interpreting markets and companies.
Develop reliable data pipelines, scrapers, transformations, internal applications, and analytical models using Python and SQL.
Connect asset, production, flow, contract, infrastructure, ownership, company, and financial data across East Daley’s systems.
Build workflows that translate physical market activity into revenue, EBITDA, capital expenditures, company forecasts, and investment implications.
Transform recurring Excel-based processes into structured, reusable, and supportable systems.
Reconcile inconsistent datasets, identifiers, ownership structures, reporting periods, and company disclosures.
Develop models and analyses that identify emerging trends, unusual signals, forecast risks, and differentiated market views.
Translate technical outputs into clear market, financial, and investment implications.
Apply appropriate testing, quality controls, monitoring, version control, and documentation.
Communicate progress, risks, design decisions, and tradeoffs clearly across analytical, engineering, product, and visualization teams.
Use AI as an active development and analytical partner, going beyond basic prompting to accelerate research, coding, debugging, testing, documentation, data reconciliation, prototyping, and analytical discovery.
Turn AI into a repeatable workflow, critically evaluate its output, and build controls that make AI-assisted work accurate and reproducible.

Benefits

Medical, Dental, and Vision coverage with Company contributions
401(k) with a 3% Company contribution
Flexible Spending and Health Savings Account options with Company Contribution
Employee Assistance and Wellness Programs
Life, Accidental Death, and Disability coverage
Direct access to experienced analysts, engineers, and energy-market professionals
Meaningful ownership of analytical tools and client-facing products
Exposure to proprietary energy infrastructure, financial, regulatory, and market data
Opportunity for rapid development across software, AI, financial analysis, equity research, and energy markets
Employees are welcome to bring their well-behaved dogs to the office.