Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Indianapolis, IN
Live, first seen by us 60 days agoEmployment type in the employer’s posting: Part timeFrom the employer’s posting
Pursuing a Bachelor s or Master s in Data Analytics, Information Systems, Computer Science, AI, Statistics or a related field
Build data pipelines that ingest data from various sources
Build, enhance and document data models in Fabric and Snowflake
Profile source data, investigate discrepancies and improve data quality
Partner with analysts to turn business questions into reusable datasets
Develop and refine Power BI dashboards and reports
Build data pipelines to connect to and ingest data from various data sources
Build, enhance, document data models in our Fabric and Snowflake data platforms
Profile source data, investigate discrepancies, and improve data quality
Partner with analysts to translate business questions into reusable datasets
Develop and refine dashboards and reports in Power BI as needed
Pursuing a Bachelor's or Master's in Data Analytics, Information Systems, Computer Science, AI, Statistics or a 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, projects, or prior internships
Clear written and verbal communication; comfort asking questions and explaining your reasoning
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 60
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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QUALIFICATIONS • Pursuing a Bachelor's or Master's in Data Analytics, Information Systems, Computer Science, AI, Statistics or a 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, projects, or prior internships • Clear written and verbal communication; comfort asking questions and explaining your reasoning • Strong attention to detail and genuine curiosity about how a business works
Corporate Indianapolis 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. RESPONSIBILITIES
RESPONSIBILITIES • Build data pipelines to connect to and ingest data from various data sources • Build, enhance, document data models in our 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 QUALIFICATIONS
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Location:
Corporate IndianapolisSimon 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.
RESPONSIBILITIES
• Build data pipelines to connect to and ingest data from various data sources
• Build, enhance, document data models in our 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
QUALIFICATIONS
• Pursuing a Bachelor's or Master's in Data Analytics, Information Systems, Computer Science, AI, Statistics or a 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, projects, or prior internships
• Clear written and verbal communication; comfort asking questions and explaining your reasoning
• Strong attention to detail and genuine curiosity about how a business works
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Indianapolis, IN
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