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Data Engineering Fellow Jobs (NOW HIRING)

The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join ... Data Engineering, and Data Science support for the university's institutional, academic, and ...

Enterprise Data Engineer

Huntingdon, PA

$102K - $122.50K/yr

Strong data engineering experience of at least 3-5 years * Experience in data modelling (e.g ... Together with our fellow water companies, we are committed to the Social Mobility Pledge; we are ...

Enterprise Data Engineer

Lincoln, NE

$99.70K - $119.70K/yr

Strong data engineering experience of at least 3-5 years * Experience in data modelling (e.g ... Together with our fellow water companies, we are committed to the Social Mobility Pledge; we are ...

Enterprise Data Engineer

Huntingdon, PA

$102K - $122.50K/yr

Strong data engineering experience of at least 3-5 years * Experience in data modelling (e.g ... Together with our fellow water companies, we are committed to the Social Mobility Pledge; we are ...

Enterprise Data Engineer

Lincoln, NE

$99.70K - $119.70K/yr

Strong data engineering experience of at least 3-5 years * Experience in data modelling (e.g ... Together with our fellow water companies, we are committed to the Social Mobility Pledge; we are ...

Strong communication skills, with the ability to translate complex details into clear outcomes; and comfortable with communicating on both a technical level (data engineering, fellow analysts) and ...

The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join ... Data Engineering, and Data Science support for the university's institutional, academic, and ...

Data Engineer

Washington, DC · On-site +1

$129.70K - $155.70K/yr

... fellowship positions in 55 subspecialties through its Specialties Matching Service. POSITION ... A bachelor's or master's degree in engineering or computer science or a related quantitative field.

Sr. Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

This role will be working with the Manager of Engineering and a diverse team of fellow engineers ... Data engineering expertise: Strong expertise in building batch and streaming data pipelines ...

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Data Engineering Fellow information

What are the key skills and qualifications needed to thrive as a Data Engineering Fellow, and why are they important?

To thrive as a Data Engineering Fellow, you need strong programming skills (particularly in Python or Java), a solid grasp of data structures, and a background in computer science or a related field. Familiarity with data pipelines, ETL tools, cloud platforms (like AWS or GCP), and SQL/NoSQL databases is typically required, along with certifications such as AWS Certified Data Analytics or Google Cloud Professional Data Engineer being advantageous. Problem-solving ability, teamwork, and effective communication are valuable soft skills that help you collaborate and translate technical concepts. These skills and qualities are crucial for building scalable data solutions, ensuring data quality, and contributing effectively within dynamic data teams.

What types of projects and technologies can a Data Engineering Fellow expect to work with during their fellowship?

As a Data Engineering Fellow, you can expect to work on real-world projects involving data pipelines, data warehousing, and ETL processes using technologies such as Python, SQL, Apache Spark, and cloud platforms like AWS or Google Cloud. Fellows often collaborate closely with data scientists, analysts, and software engineers to design, build, and optimize systems for data collection and analysis. The role provides hands-on experience with large datasets and modern data infrastructure, offering a strong foundation for a career in data engineering or related fields. This collaborative environment helps fellows quickly develop both technical skills and an understanding of cross-functional teamwork.

What is a Data Engineering Fellow?

A Data Engineering Fellow is typically a participant in a specialized training program or fellowship focused on developing advanced skills in data engineering. Fellows learn to design, build, and maintain the infrastructure and tools needed for collecting, storing, and analyzing large volumes of data. These programs often combine hands-on projects, mentorship, and coursework to prepare individuals for professional data engineering roles. The fellowship may target recent graduates or career changers looking to enter the field of data engineering.
More about Data Engineering Fellow jobs
Infographic showing various Data Engineering Fellow job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.
Data Analytics Fellow

Other

Posted 15 days ago


Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

433rd of 529 rated colleges and universities


Job description

Be You.

Introduction:

The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join our team. This 12-month program is available exclusively to 2026 graduates of Duke University's Masters in Interdisciplinary Data Science (MIDS). If you are passionate about addressing challenging issues in higher education using data science and educational data mining techniques, we would like to talk to you about this role.

Minimum Requirements:

This is a 12-month program is currently only available for 2026 MIDS graduates of Duke University.

        Masters in Mathematics, Computer Science, or another quantitative field.

        Proficiency with data analysis in Python or R, and SQL.

        Experience with creating dashboards or other data visualizations within analytics platforms.

        Understanding of different data formatting (JSON, CSV, Parquet) and data storage models (Data Lake, Star Schema).

Preferred Qualifications:

        Familiarity with git.

        Experience with relational databases.

        Proficiency with Tableau, Power BI, and other Business Intelligence platforms.

        Experience with container orchestration (Kubernetes, Open Shift).

        Experience contributing in an Agile team environment.

Other Requirements:

        Passion for turning data into actionable insights.

        Curiosity for discovering and learning new tools and technologies.

        Technical expertise in data exploration and visualization.

        Ability to work independently and collaboratively in an agile environment.

        Excellent verbal and written communication skills.

This position is:

Hybrid. The position allows hybrid work (approximately twice per month) or in-person work at our Durham, NC location, with occasional travel (approximately once per month) to other institutions in North Carolina.

Be Bold.

Essential Job Duties:

Coordinate and participate in collecting, interpreting, documenting, and summarizing data to support research and information gathering activities.

Filter and clean data, review reports, logs, and performance indicators to locate and correct code problems.

Apply statistical and machine learning techniques to identify trends and insights in historical data.

Design reports using tools such as statistics, graphs, images, and lists to help stakeholders easily interpret the data. Communicate results to technical and non-technical stakeholders.

Provide interpretation and recommendations to decision-makers, ensuring stakeholders understand nuances in analyses and limitations of methodologies.

Choose Duke.

Why Join Us:

The Data Analytics Practice within Duke's Office of Information Technology is a new practice that provides Data Visualization, Data Engineering, and Data Science support for the university's institutional, academic, and research needs. Join us to be part of a dedicated team that actively engages with the research community and promotes the use of advanced computing technologies in research and education.

Additional Information:

Learn more about Duke University's competitive benefits package: HR.Duke.Edu/Benefits.


Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions:

Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.



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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

Year founded

1838