Data Engineering Internship

### Who you are
- What You'll Learn:
- How to design and operate scalable, cloud-based data pipelines in an enterprise environment
- Hands-on experience with modern data tools including Airflow, Databricks, Fivetran, dbt, and AWS
- Best practices for data modeling, transformations, and analytics engineering
- How orchestration, automation, and monitoring are applied to real-world data systems
- Techniques for ensuring data quality, reliability, and observability across multiple data sources
- How to work with large datasets using distributed data processing frameworks
- Professional software engineering practices such as version control, code reviews, documentation, and testing
- How to collaborate effectively with cross-functional teams to translate business needs into technical solutions
- Exposure to enterprise-scale data architecture and integration patterns used across a multi-product organization like EverCommerce
- High level of attention to detail/accuracy
- Exercise discretion and good judgment and maintain confidentiality when handling sensitive information
- Positive attitude approaching any task no matter how big/small
- Approaches projects with creativity and is willing to think outside of the box
- Effective communication skills, both written and verbal, with the ability to present complex information in a clear and concise manner
- Proactive, self-motivated, and able to work both independently and collaboratively in a fast-paced environment
- Must be Denver area based, and willing to come into the Denver office every Tuesday/Thursday (Located in RINO)
- Rising juniors and seniors pursuing a bachelor’s degree from an accredited university
- Applicants to be currently authorized to work in the United States on a full-time basis from June to August 2026
- Must be willing to commit to a 10-week internship in the Summer of 2026 (June-August) on a full-time basis
- Enthusiastic about technology and committed to professional development
- Good written and verbal communication skills
- Willing to learn and collaborate with your teammates

### What the job involves
- We are currently seeking rising junior and senior students to apply for our internship program. This is a great opportunity for individuals looking to gain hands-on experience and contribute to meaningful projects
- We are looking for a Data Engineering Intern to join our Data and Analytics (DnA) team. This role offers an exciting opportunity to collaborate closely with our DnA team to support the company-wide intern program, improve DnA Team processes, collaborate with DnA functions to create documentation and participate in ad hoc DnA projects
- Assist in building, testing, and maintaining data pipelines using Python and SQL within the enterprise data platform
- Support data ingestion and integration from internal and third-party systems using Fivetran
- Help develop and run ETL/ELT workflows orchestrated with Apache Airflow
- Contribute to data transformations and analytics models using dbt, following established best practices
- Support data processing tasks in Databricks, working with Spark-based workloads under guidance from senior engineers
- Assist with deploying, monitoring, and troubleshooting data workloads in AWS (e.g., S3, compute services)
- Perform data quality checks, validation, and debugging to ensure reliable and accurate data
- Create and maintain documentation for data pipelines, models, and integrations
- Collaborate with data engineers, analytics engineers, and cross-functional partners to support enterprise data initiatives

### Benefits
- Flexibility to work where/how you want – in-office, remote, or hybrid
- Robust health and wellness benefits, including an annual wellness stipend
- Continued investment in your professional development through Udemy
- 401k with company match
- Flexible and generous paid time off
- Employee Stock Purchase Program