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BR-2525 Data Engineer Undergraduate Intern

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WWF

26d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • Washington

AI generated summary

  • You must be an enrolled student in a related field with basic Python and SQL skills, familiarity with databases and ETL, and align with WWF’s values of courage, integrity, respect, and collaboration.
  • You will develop ETL pipelines, ensure data quality, integrate data streams, support infrastructure optimization, collaborate in team planning, and engage in learning opportunities for skill development.

Requirements

  • Minimum Requirements:
  • Pursuing an associate’s or bachelor’s program in Computer Science, Data Science, Engineering, or a related field. Those studying outside these areas are still highly encouraged to apply. Must be an actively enrolled student and not received degree at time of internship start date (June 16, 2025).
  • Technical Skills: Basic proficiency in Python and SQL.
  • Data Management: Familiarity with database management systems and ETL concepts.
  • Identifies and aligns with WWF’s core values: Courage, Integrity, Respect, and Collaboration.
  • Demonstrates courage by speaking up even when it is difficult, or unpopular.
  • Builds trust with colleagues by acting with integrity, owning mistakes, and holding oneself accountable.
  • Welcomes other points of view and ideas, recognizing and embracing different and contrary perspectives with kindness, curiosity, and encouragement.
  • Makes conscious efforts to promote cooperative practices, behaviors, and ways of working across many groups and individuals.
  • Preferred Qualifications:
  • Subject expertise in one or more of the following areas is preferred, but not required:
  • Technical Skills: Exposure to data warehousing solutions (e.g., Azure Synapse).
  • Problem-Solving: Strong analytical mindset and eagerness to tackle complex data challenges.
  • Communication: Solid written and verbal communication skills for effective collaboration and documentation.

Responsibilities

  • Data Pipeline Development: Support the creation and maintenance of ETL pipelines, primarily using Python and SQL, to extract, transform, and load data from multiple sources.
  • Data Integration: Help integrate batch data streams to ensure consistency, usability, and reliability.
  • Data Quality Assurance: Contribute to data cleaning, validation, and documentation efforts to ensure high data quality and integrity.
  • Infrastructure Support: Assist in optimizing and scaling our data infrastructure, working with Azure/MS Fabric platforms and containerization tools.
  • Collaboration: Participate in team stand-ups and kanban planning, working alongside data engineers, data scientists, and stakeholders to fulfill data requirements.
  • Learning & Development: Engage in continuous learning through mentorship sessions and self-paced resources to develop new technical skills and stay current on best practices.

FAQs

What is the duration of the internship?

The internship will run from June 16, 2025, to August 22, 2025.

What is the hourly pay for this internship?

The compensation for this internship is $20.50 per hour for a full-time schedule of 35 hours per week.

What qualifications are required for the Data Engineer Undergraduate Intern position?

Applicants must be pursuing an associate’s or bachelor’s program in Computer Science, Data Science, Engineering, or a related field, and must be actively enrolled students without having received their degree by the internship start date.

Is prior experience in conservation required to apply?

No, prior experience in conservation is not required, and applicants from various fields are encouraged to apply.

Will interns have access to mentorship during the internship?

Yes, interns will receive structured mentorship and guidance from experienced data engineers throughout the internship.

What technical skills should candidates possess?

Candidates should have basic proficiency in Python and SQL, as well as familiarity with database management systems and ETL concepts.

What type of projects will the interns work on?

Interns will assist in developing and maintaining data pipelines, data integration, data quality assurance, and optimizing data infrastructure.

Are applicants required to provide any additional documents as part of the application process?

Yes, if selected for the role, applicants will need to provide one letter of recommendation as part of the application process.

Is the internship available to international students?

No, applicants must be legally authorized to work in the U.S., and this position is not eligible for employment visa sponsorship.

What learning opportunities are provided to interns?

Interns will have access to professional development opportunities, including development discussions, online courses through Cornell University's eCornell program, speed mentoring, and networking opportunities with WWF staff and leadership.

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WWF

Creating a world where people live in harmony with nature. Together, anything is possible.

Non-profit
Industry
1001-5000
Employees
1961
Founded Year

Mission & Purpose

Nature is our life-support system. That’s why WWF – an independent conservation organization active in nearly 100 countries – is tackling the deepening crisis of nature loss caused by human activities. Our ambition is to set nature on the path to recovery in the coming decade for the benefit of people and wildlife. Working with many others, we must protect and restore natural habitats, stop the mass extinction of wildlife, and make the way we produce and consume sustainable. ============ General information Thank you for joining the WWF LinkedIn community. Please read these guidelines designed to keep our members safe online. WWF is responsible for protecting and maintaining the integrity of this community. While we actively encourage this community to get involved by posting to our page and taking part in discussions, we do have some basic rules. WWF will remove content if it: •Is obscene or disrespectful •Is irrelevant to the aims of the WWF community •Is irrelevant to the original post •Is judged to be spam •Is abusive or threatening to the WWF community or individuals within it •Distributes false and/or misleading information •Advertises or promotes products and/or services •Repeats previous posts.