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PMO Data Engineering Intern

Geneva Trading · Chicago, IL · $35.00–$40.00 an hour · Project Management

Posted Sep 24, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a project where you took messy data and turned it into something useful.

What they are checking: Whether they have actually cleaned and shaped real data rather than only working with tidy class datasets.

What do you think a Project Management Office does, and why would it need data engineering?

What they are checking: Whether they understand how teams plan and track work and why reliable data helps.

How would you explain a chart to a leader who has two minutes before a meeting?

What they are checking: Whether they can communicate insight briefly, since leadership is the audience for this work.

Tell me about a time you had to learn a new tool quickly to finish something.

What they are checking: Whether they learn fast and independently in a busy environment.

Why are you interested in working at a trading firm for this internship?

What they are checking: Whether they have a real reason and are curious about the environment they would join.

What would you do

A project manager says your numbers do not match what they see. How would you check who is right?

What they are checking: Whether they trace data back to its source calmly instead of getting defensive.

If you were given vague direction on day one, how would you figure out what to build?

What they are checking: Whether they ask good questions and confirm needs before building.

About the work

What tools would you use to build a simple dashboard that tracks project status across teams?

What they are checking: Whether they can pick practical tools like SQL, Python and a BI tool for an operations audience.

Write a SQL query that shows each project's number of open tasks and how many are past due.

What they are checking: Whether they can handle joins, grouping and date logic, the basics of operational reporting.

How would you automate a weekly report that someone currently builds by hand in Excel?

What they are checking: Whether they think about scheduling, repeatability and reducing manual errors.

Practice this interview out loud.

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The full job description

As published by Geneva Trading.

Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry. &nbsp; Geneva Trading is looking for a curious and motivated PMO Data Engineering Intern to join our Project Management Office this summer. This internship is designed for students who want hands-on experience building real data tools that support how teams plan, track, and make decisions. &nbsp; You’ll&nbsp;work with real operational data and help turn it into insights that leadership can use, all while learning in a fast-paced, collaborative trading environment. &nbsp; What&nbsp; You’ll &nbsp;Work On <span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":281,"335559739":281}">&nbsp; <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"> Data Pipelines: &nbsp;Help build scripts that pull data from internal systems and APIs, then clean and organize it for analysis. &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"> Data Modeling: &nbsp;Learn how to structure raw data into clear, easy-to-use relational models that support reporting and trend analysis. &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"> Applied AI & Automation: &nbsp;Explore ways to&nbsp;leverage&nbsp;Large Language Models (LLMs) or machine learning to automate text analysis (like summarizing project updates) or enhance data quality. &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"> Scenario Analysis: &nbsp;Assist&nbsp;in creating “what-if” models to explore how changes in staffing or resources could&nbsp;impact&nbsp;team goals. &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"> Dashboards & Insights: &nbsp;Work closely with the Director of PMO to turn data into dashboards and visuals that tell a clear story. &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"> Production Experience: &nbsp;Gain exposure to writing clean, reliable code with best practices around testing, documentation, and maintainability. &nbsp; What&nbsp; We’re &nbsp;Looking For <span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":281,"335559739":281}">&nbsp; <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"> Python Experience: &nbsp;Hands-on experience using Python, especially Pandas and NumPy, for data analysis and transformation. &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"> Data Basics: &nbsp;Understanding of&nbsp;how relational databases work (tables, keys, basic normalization). &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"> SQL Skills: &nbsp;Ability to write queries to pull and combine data from&nbsp;different sources. &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"> Student Status: &nbsp;Currently enrolled in a&nbsp;Master’s&nbsp;or PhD program in Data Science, IT, Computer Engineering, or a related quantitative field. &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"> Eagerness to Learn: &nbsp;You enjoy building things, asking questions, and taking ownership of a project from start to finish. &nbsp; Nice to Have (Not Required) <span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":281,"335559739":281}">&nbsp; <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"> Experience working with REST APIs or JSON/CSV data &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"> Familiarity with Git or version control tools &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"> Experience&nbsp;utilizing&nbsp;AI coding assistants (e.g., GitHub Copilot, ChatGPT) to write, debug, and document code efficiently &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"> Familiarity with AI/LLM APIs (e.g., OpenAI) or basic machine learning libraries (e.g., scikit-learn) &nbsp; Compensation: <span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":281,"335559739":281}">&nbsp; Hourly Range: &nbsp;$35-40/hr&nbsp;The&nbsp;final hourly rate will be dependent on the successful candidate's skills, experience, education, and qualifications. This role is a temporary position and therefore is not eligible for Geneva Trading’s full-time employee benefits program. &nbsp; Application expected to close: &nbsp;12/23/2026 &nbsp; We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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