Agentic Analytics Data US Intern Summer 2027

Siemens

Raleigh (NC)

Hybrid

USD 40,000 - 47,000

Part time

2 days ago
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Benefits offered by this job

401K program
Remote work after onboarding

Job summary

Siemens is offering a 10-week Summer Internship in the United States focused on production-scale data and AI work for a SaaS platform. You will receive mentorship from data architects and BI leaders, gaining exposure to AI governance and tenant security.

The role starts remotely with onboarding in Raleigh, NC for one week onsite, then becomes fully remote. The internship requires pursuing a bachelor’s or master’s degree in CS, Engineering, or related field, with strong SQL and data engineering

Qualifications

  • Pursuing a bachelor’s or master’s degree in Computer Science, Engineering, or related field; rising juniors through graduates considered.
  • Strong SQL skills and solid data engineering fundamentals including ETL/ELT, data modeling, and Python.
  • Hands-on experience with large language models via coursework, projects, or prior work.

Responsibilities

  • Build and test agentic analytics workflows turning natural-language questions into trustworthy answers using data assets.
  • Develop context-engineering patterns, including semantic views and curated metadata for LLMs.
  • Support data governance activities such as cataloging, lineage, and data quality checks across medallion layers.
  • Write and optimize SQL and data pipelines to support analytics and AI use cases.
  • Evaluate agent output for accuracy and document findings.
  • Present work to team and stakeholders at internship end.

Skills

SQL
Python
Data engineering

Education

Bachelor’s degree (pursuing)

Tools

Tableau
Power BI

Job description

Description:

Siemens Asset Management Software provides facility management, asset management, and sustainability software for education, healthcare, government, and commercial customers. Our products include Asset Essentials, TheWorxHub, SmartAssets, and Confirm. The Data & Business Intelligence team operates a cloud data platform using a Bronze/Silver/Gold medallion data warehouse architecture that supports embedded reporting and analytics. The team is now building agentic analytics, where AI agents answer customer questions using governed, tenant-secure data.

In this internship, you'll contribute to production-scale data and AI work on a SaaS platform, receive mentorship from data architects and BI leaders, and gain exposure to how a global software organization approaches AI, governance, and tenant security.

This 10-week Summer Internship will last between May 2027 and August 2027.

Location:

This position is remotely based within the United States.

However, to facilitate onboarding and establish key relationships with the team, the successful candidate will be required to attend their first week of employment onsite in Raleigh, NC. Following onboarding, the role will be fully remote.

Qualified Applicants must be legally authorized for employment in the United States and will not require employer sponsored work authorization now or in the future for employment in the United States.

You'll make an impact by:
  • Build and test agentic analytics workflows that turn natural-language questions into trustworthy answers using work order, asset, inspection, and maintenance data.
  • Develop context-engineering patterns, including semantic views, metric definitions, and curated metadata that give large language models the right context.
  • Support data governance activities such as cataloging, lineage, and data quality checks across the medallion layers.
  • Write and optimize SQL and data pipelines that support analytics and AI use cases.
  • Evaluate agent output for accuracy and consistency, and document findings.
  • Present your work to the team and stakeholders at the end of the internship.
This is how you'll win us over:
  • Currently pursuing a bachelor's or master's degree in Computer Science, Engineering, or a related field. We will consider rising juniors through rising seniors and graduate students.
  • Strong SQL skills and solid data engineering fundamentals, including data modeling, ETL/ELT, and Python.
  • Hands‑on experience with large language models, such as prompt design, APIs, or agent frameworks, through coursework, projects, or prior work.
  • Curiosity about how AI agents reason over data and the discipline to test whether their outputs are accurate.
You'll Thrive Even More If You Also Bring:
  • Familiarity with metadata management, data catalogs, or data governance concepts.
  • Experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure; cloud data warehouses such as Snowflake; or BI tools such as Tableau or Power BI.
  • Experience with semantic layers, retrieval, or evaluating large language model outputs.
  • Awareness of multi‑tenant data warehouse security concepts such as row‑level security.
  • A portfolio, GitHub repository, or project that demonstrates agentic AI or data‑related work.

At Siemens, you'll have the opportunity to grow your career while helping organizations operate smarter, safer, and more sustainably. We foster a culture of innovation, collaboration, and continuous learning, where employees are empowered to make a difference every day.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

Siemens maintains a Drug Free workplace in accordance with applicable law.

#AMSInternsFY27

You’ll Benefit From

The hourly pay range for this position $29 - $34 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

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