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Open nowPosted yesterday

Data Engineering Intern - Spring 2027

STV368 open roles

Where
Chicago, Illinois
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Your applicationOpen nowData Engineering Intern - Spring 2027STV · Chicago, Illinois

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on STV's own form.

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The clock on this job

Early applications get read.

9.5% of postings close within 7 days. Measured by our own scanner across the market. STV postings stay open a median of 29 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted yesterday

STV median: 29 days open

The posting

STV is seeking an enthusiastic and motivated Data Engineering Intern to join our team. This internship offers an opportunity for undergraduate and graduate-level candidates to work alongside our experienced team, learn, and contribute to meaningful projects.

In this role, you will work closely with our experienced data engineering team to gain hands-on experience in designing, developing, and maintaining data pipelines and systems to support our data-driven initiatives. This internship offers an exciting opportunity to learn from industry professionals, contribute to real-world projects, and develop valuable skills in data engineering.

Responsibilities:

· Work alongside our team to develop innovative data transformation pipelines for data from a wide variety of sources.

· Collaborate with team members to advance the use of data in the industry.

· Aid in the development of applications to better display AEC data.

· Build skills in data transformation technology such as Azure Data Factory and Pyspark.

· Perform other tasks as assigned to support project goals and team objectives.

· Conduct exploratory data analysis (EDA) to uncover patterns, anomalies, and insights that inform model development.

· Create visualizations to effectively present findings and results to stakeholders.

· Stay updated on the latest technologies, tools, and techniques in the analytics domain and machine learning.

· Document analytical methodologies and coding efforts to ensure consistent knowledge transfer and reproducibility.

· Contribute insights and feedback during team meetings to support the iterative learning process.

· Perform other tasks as assigned to support project goals and team objectives.

Required Experience:

· Currently pursuing a bachelor's or master's degree in Computer Science, Data Engineering, or Software Engineering.

Preferred Qualifications:

· Hands-on experience with ETL processes and tools

· Prior activity in data projects utilizing python and database technologies .

· Basic knowledge of version control systems such as Git.

· Fundamental understanding of the ETL and ELT processes.

· Experience with Python and data libraries such as pandas and numpy.

· Familiarity with SQL and experience in querying databases for data extraction.

· Understanding of data modeling and database technology such as My-SQL, SQL server, and Mongo db.

· Demonstrated ability to communicate data modeling and transformation processes using ERD diagrams and other workflow diagrams.

This position is not eligible for sponsorship.

Compensation Range:

$47,959.00 - $54,498.00

STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off • Paid Holidays • Back-Up Dependent Care • Parental Leave • Continuing Education Program • Professional Licensure and Society Memberships

STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.

Not sure this role is the perfect match? We encourage you to apply if STV’s work and values resonate with you. We know great candidates don’t always meet every qualification, and research shows women and people of color are less likely to apply unless they do. At STV, we believe strong talent comes from a wide range of backgrounds, and your skills and experience may align with this or another opportunity as we continue to grow.

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