Environmental Data Analyst Intern - Summer 2027

ABOUT THE TEPA COMPANIES Established in 2005 and owned by the Paskenta Band of Nomlaki Indians, The Tepa Companies deliver comprehensive and sustainable solutions to federal, state, local, and private-sector clients throughout the United States. The tribally owned companies work independently and collaboratively to provide wide-ranging construction, engineering, environmental, industrial, staffing, and technology services. When you join Tepa Companies, you have the opportunity to expand your entrepreneurial skill set while growing professionally alongside the best in the industry. You will have the opportunity to impact your team, the organization as a whole, and subsequently, our Tribe. We seek out top talent to provide the best services for our clients. We focus on being a responsible company for our employees and their families by creating a culture that reflects our core values and offering competitive pay and benefits package. Our benefits package includes comprehensive medical, dental, vision, generous paid time off and holidays, 401(k) plan with company match, life insurance, flexible spending and health savings account, mental health support and resources, short and long-term disability, and tuition reimbursement. Location: Denver, CO Pay Range: $21- $23/HR ABOUT THE JOB The Environmental Data Analyst Intern supports the Environment team in delivering data systems and analytical solutions for environmental investigations and compliance programs. Responsibilities focus on data processing, standardization, quality control, and database management within an agile delivery environment. This role contributes to maintaining a reliable single source of truth (SSOT) for environmental data used in reporting and decision-making. The intern also gains exposure to field data collection processes to understand how environmental data is generated and constrained, ensuring data systems and analyses remain aligned with real-world conditions. The Tepa Companies 2027 Intern Program is a paid opportunity for the duration of 12 weeks. Depending on your workload and school schedule, the work schedule will be approximately 40 hours per week in the Denver, CO office location. • Supports data ingestion, standardization, and validation processes for environmental datasets from technical reports, databases, and field sources. • Performs data quality reviews to ensure completeness, consistency, and traceability across systems. • Assists in maintaining and updating structured environmental databases that support project and program deliverables. • Contributes to development of automated workflows and data pipelines for data processing and reporting. • Summarizes and organizes data to support technical reporting and decision-making. • Participates in Agile team activities, contributing to defined tasks and deliverables within iterative development cycles. • Supports integration of datasets across systems and platforms to maintain consistency within the SSOT. • Participates in limited field activities to gain understanding of environmental data collection methods and constraints. • Collaborates with GIS and field teams by preparing and validating datasets for integration into enterprise data systems. • May have direct contact with client on client sites. • May support client deliverables through data preparation and reporting. WHAT WE'RE LOOKING FOR • Enrolled in a bachelor’s degree in Data Science, Environmental Science, Computer Science, Chemistry, Engineering, or a related field. • Within 2 years of graduation (rising junior/rising senior). • Strong analytical and problem-solving skills with attention to data quality and detail • Ability to work with structured datasets and understand data relationships • Basic familiarity with databases, data processing, or programming concepts (e.g., SQL, Python, or similar tools preferred) • Ability to work independently and as part of an Agile team • Strong written and verbal communication skills • GIS familiarity is acceptable but not required Equal Opportunity Employer/Veterans/Disabled