Environmental Data Analyst Intern: Build Data Pipelines

Tepa-Companies; Denver (CO); On-site; USD 29,000 - 32,000; Full time

Benefits offered by this job

Paid internship

Health insurance

401(k) plan with company match

Tuition reimbursement

Paid time off

Job summary

The Tepa Companies in Denver, CO, are offering a paid Environmental Data Analyst Intern role for a 12-week period. The position focuses on data processing, quality control, and database management within an agile delivery environment.

Interns will contribute to SSOT for environmental data, engage with GIS and field teams, and gain exposure to field data collection processes while supporting reporting and client deliverables.

Qualifications

• Strong analytical and problem-solving skills with attention to data quality and detail.
• Familiarity with databases, data processing, or programming concepts (SQL, Python) preferred.
• Ability to work independently and as part of an Agile team.

Responsibilities

• Supports data ingestion, standardization, and validation for environmental datasets.
• Maintains and updates structured environmental databases to support deliverables.
• Develops automated workflows and data pipelines for processing and reporting.
• Summaries and organizes data to support technical reporting and decision-making.
• Participates in Agile team activities and delivers defined tasks within sprints.
• Interacts with GIS and field teams to validate datasets for enterprise systems.

Skills

Analytical skills

Data quality

SQL

Python

Agile

Communication

Education

Bachelor’s degree enrollment in Data Science, Environmental Science, Computer Science, Chemistry, or Engineering

Tools

SQL

Python

Job description

The Tepa Companies in Denver, CO, are offering a paid Environmental Data Analyst Intern role for a 12-week period. The position focuses on data processing, quality control, and database management within an agile delivery environment.

Interns will contribute to SSOT for environmental data, engage with GIS and field teams, and gain exposure to field data collection processes while supporting reporting and client deliverables.