Data Engineering Intern: Build Pipelines & Dashboards

simon; Indianapolis (IN); On-site; USD 28,000 - 41,000; Full time

Job summary

Simon is looking for a Data Engineering Intern to help build the data models, data pipelines, semantic models and dashboards our business runs on. You'll work alongside data engineers, data scientists and BI developers to turn raw data from marketing, media, leasing, operations into clean, trusted datasets that decision-makers actually use.

This is a hands-on data engineering internship. You'll write real SQL, ship real models, and see your work land in front of business stakeholders.

Qualifications

• Pursuing a Bachelor's or Master's in Data Analytics, Information Systems, Computer Science, AI, Statistics or related field.
• Working knowledge of SQL (joins, aggregations, window functions).
• Working knowledge of Python for data manipulation.
• Exposure to a BI tool (Power BI, Tableau, Looker) through coursework or internships.
• Clear written and verbal communication; curiosity about how a business works.

Responsibilities

• Build data pipelines to connect to and ingest data from various data sources.
• Build, enhance, document data models in Fabric and Snowflake data platforms.
• Profile source data, investigate discrepancies, and improve data quality.
• Partner with analysts to translate business questions into reusable datasets.
• Build/enhance data agents as needed.
• Develop and refine dashboards and reports in Power BI as needed.
• Present your summer project and findings to the Data & Analytics team.

Skills

SQL

Python

Verbal communication

Attention to detail

Business curiosity

Education

Bachelor's or Master's in Data Analytics / IS / CS / AI / Statistics

Tools

Snowflake

Fabric

Power BI

Tableau / Looker

Job description

Simon is looking for a Data Engineering Intern to help build the data models, data pipelines, semantic models and dashboards our business runs on. You'll work alongside data engineers, data scientists and BI developers to turn raw data from marketing, media, leasing, operations into clean, trusted datasets that decision-makers actually use.

This is a hands-on data engineering internship. You'll write real SQL, ship real models, and see your work land in front of business stakeholders.