1

Internship Data Integration Jobs in Colorado (NOW HIRING)

... and mentor interns and analysts on tools, methods, and best practices. * Communication ... Ability to use APIs to integrate data from external sources. Power Platform * Experience using ...

Integrated Circuit testing, Circuit Analysis * Matlab Processing of Electrical Signal Data ... INTERNSHIP PERKS * Paid Internship and raises for returning interns * Roundtrip airfare or mileage ...

Internship: Signal Design

Denver, CO

$19.50 - $25.75/hr

Integrated Circuit testing, Circuit Analysis * Matlab Processing of Electrical Signal Data ... INTERNSHIP PERKS * Paid Internship and raises for returning interns * Roundtrip airfare or mileage ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

$94K - $111K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

Digital Analyst Internships

Colorado Springs, CO ยท On-site

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

next page

Showing results 1-20

Internship Data Integration information

What is the difference between Internship Data Integration vs Data Analyst?

AspectInternship Data IntegrationData Analyst
Required CredentialsRelevant coursework, basic technical skillsBachelor's degree in related field, technical proficiency
Work EnvironmentInternship setting, entry-level projectsFull-time, professional environment with ongoing projects
Employer & Industry UsageUsed in tech, finance, healthcare for trainingUsed across industries for data interpretation and reporting
Common Search & ComparisonOften compared for entry-level roles and trainingCompared for experienced roles in data analysis

Internship Data Integration focuses on entry-level, training-oriented tasks involving basic data merging and system familiarity. Data Analysts handle more complex data interpretation, reporting, and decision-making. Internships serve as a stepping stone toward becoming a full Data Analyst, with overlapping skills but differing in scope and experience level.

What is an internship data integration?

Internship Data Integration roles involve assisting organizations in combining data from different sources into a unified system for analysis and reporting. Interns in this field typically work with data extraction, transformation, and loading (ETL) processes under the guidance of experienced data engineers or analysts. They may help clean, map, and validate data to ensure consistency and accuracy. These internships provide valuable hands-on experience with data management tools and software, and offer insights into how organizations leverage data for business intelligence.

What does an internship data integration do?

As a Data Integration intern, you can expect to work on projects that involve collecting, transforming, and combining data from multiple sources into a unified format for analysis or system integration. Typical responsibilities include assisting with ETL (Extract, Transform, Load) processes, developing data pipelines, and supporting senior team members in troubleshooting data flow issues. You may also participate in meetings with cross-functional teams, such as data engineering and business intelligence, to ensure alignment on data requirements. This role offers hands-on experience with industry-standard tools and exposure to best practices in data management, making it a valuable stepping stone toward a career in data engineering or analytics.

What are the key skills and qualifications needed to thrive as an internship data integration?

To thrive as an Internship Data Integration, you typically need a foundation in computer science, data management concepts, and familiarity with databases or data warehousing. Experience with ETL tools, SQL, and sometimes cloud platforms like AWS or Azure, as well as knowledge of data integration software, is often expected. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate and solve problems efficiently. These competencies enable successful integration of diverse data sources, ensuring data quality and supporting business intelligence initiatives.

Water Conservation Data Analyst

Summary

Vail, CO โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

The Water Conservation Data Analyst plays a crucial role in our mission to protect and sustain our water resources. As a key team member in the Water Conservation Department, you will use data analysis to support water conservation goals, create water-saving strategies, and help shape a sustainable future for our community. You will support programs to manage water use across our customer types and influence conservation through data-driven insights.ย 

Weโ€™reย seekingย an individual passionate about using data in an environmental sustainability and water conservation setting. If you thrive on data analysis, enjoy collaborating with diverse teams, and are excited about creating positive change, this role could be a perfect fit.ย 

Why work for us?ย The work you will do as a Water Conservation Data Analyst will allow you to make a real difference in creating a sustainable future for the community where we live, work and play. In addition, we offer excellent health benefits, a housing program, and opportunities for training and development.ย ย 

Day to Day Responsibilities:ย 

  • Data Analysis & Evaluation:ย Use data to support business decisions about water conservation and other internalย initiatives andย track the impacts resulting from our work. Lead sophisticated statistical analyses of water use to refine conservation needs and understand how factors such as outreach, weather, and rates affect customers' water use.ย 
  • Statistical Modeling & Forecasting:ย Build regression and time-series models to quantify how weather, rate changes, and outreach affect water use, and forecast future demand and revenue under different rate and conservation scenarios.ย 
  • Data Engineering & Tooling: Develop andย maintainย reproducible data pipelines, analysis scripts, and interactive tools (R, Quarto, Shiny) using version control, and audit and QC source data for accuracy before it drives analysis, reporting, or billing.ย 
  • Data Management & Visualization:ย Develop and manage interactive dashboards, charts, and reports in Power BI and Shiny to communicate key findings internally and for the public.ย 
  • Cross-Functional Collaboration & Support:ย Partner with departments across the organization to design customer communications and support water conservation and rate initiatives. Serve as a subject-matter resource on water-use data and analysis for other teams andย leadership andย help onboard and mentor interns and analysts on tools, methods, and best practices.ย 
  • Communication & Storytelling:ย Translate complex analyses into clear narratives and visuals for non-technical audiences, present findings at internal meetings, town halls, and stakeholder sessions, and respond to occasional technical customer inquiries about water use, bills, and rates.ย 
  • Research, Reporting & Documentation:ย Apply best practices in water conservation and data-driven rate structures, andย maintainย SOPs, reports, records, and documentation so analyses and processesย remainย reproducible and transferable across the team.ย 

Qualifications and Competencies:ย 

  • Education & Experience:ย ย 
    • Bachelor's degree from an accredited college or university with significant course work in environmental science, conservation, biological science,ย hydrology,ย data analysis, or related fields, ANDย 
    • Minimum two years of professional experience in a data analysis-heavy field, ORย any combination of experience and training that would provide the required knowledge and abilities.ย 
  • Problem Solving: Use critical thinking to address data discrepancies, quality-check datasets, and support solution development through comprehensive analysis.ย 
  • Teamwork: Ability to work across all departments and manage workloads.ย 
  • Projectย managementย skillsย 

Required Technical Skills:ย 

  • Data Modeling: Advanced skills in querying, data extraction, transformation, aggregation, and optimizationย 
  • Programming and Analysis: Experience with R and R Studio/VS Code for data manipulation, statistical analysis, and modelingย 
  • Statistical Software and Libraries:ย Proficiencyย in statistical software and libraries (e.g., pandas in Python,ย dplyrย in R) for advanced data manipulation and analysis.ย 
  • Git: Ability to incorporate Git version control into workflows for reproducible code, CI/CD DevOps, and collaboration amongst data colleagues.ย 
  • Excel: Strong foundational Excel skills for supplemental analysis (Pivot Tables, Conditional Formatting, Index Match, Data Validation).ย 

Nice to Have Skills:ย 

  • SQL Server (Data Warehousing, ETL)ย 
  • APIs and Data Integration: Ability to use APIs to integrate data from external sources.ย Power Platformย 
  • Experience usingย Virtual Machine (VM) Environmentsย 
  • Pythonย 
  • Dockerย 
  • Data Security and Compliance: Understanding of data governance, privacy, and security best practices, including compliance with CISA (Cybersecurity and Infrastructure Security Agency) standards.ย 

The Scheduleย ย 

This position is expected to work a hybrid schedule, working on-site 2-3 days per week at our office in Vail, Colorado.ย 

Pay Rangeย 

Theย salaryย range for this role is $85,259.20 โ€“ $119,329.60. Hiring wage will depend on qualifications and experience.ย 

We are committed to recognizing andretaininghigh-performing employees and offer performance-based annual merit increases, cost-of-living adjustments, and annual market evaluations.ย 
Benefitsย 

At ERWSD, we value life-work balance and are leaders in the industry with our holistic benefits package, which includes but is not limited to:ย 

  • Comprehensive medical, dental, and vision coverageย 
  • Employee housing or $559 monthly housing stipendย ย 
  • Wellness programย 
  • Retirement savings plans (414h and 457) โ€“ We are a social security exempt organizationย 
  • 13.5 Paid Holidaysย 
  • Paid Time Off (PTO)ย 
  • Paid Parental Leaveย 
  • $800 Annual Recreation Benefitย 
  • Tuition Reimbursementย 
  • Loan programs for: Ski Passes, Electric Vehicles, and Computersย 
  • Relocation Assistance (if applicable)ย 

All District employees mustย possessย a valid Colorado Driver License and submit to a pre-employment drug screen, extensive background check including an educational verification, and reference check. For a full position description including work environment and physical demands, emailerwsdjobs@erwsd.org.ย ย 
All applicants must apply online atwww.erwsd.orgbyAugust 5, 2026.ย 

We are an Equal Opportunity Employerย 

We do not discriminate based on race, color, religion, national origin, sex, age, disability, sexual orientation, marital status, geneticย informationย or any other status protected by law or regulation. It is our intention that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors.