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Data Engineering Fellow Jobs (NOW HIRING)

Tech Impact

Data Engineer Fellowship

Wilmington, DE

$40/hr

Data Innovation Lab Data Engineer Fellowship * Join an innovative, like-minded team that focuses on your personal growth and accelerating your career! * Use your skills and experience for social good.

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... fellow team members across business and technical project dimensions, solving complex business ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... fellow team members across business and technical project dimensions, solving complex business ...

Smart Data

2245 Data Engineer III

Cincinnati, OH

$109K - $132K/yr

Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community. Job Title: Data Engineer III Location: Cincinnati, OH Years of ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... fellow team members across business and technical project dimensions, solving complex business ...

McLane Company

Data Engineer II

Temple, TX · Hybrid

$92K - $111K/yr

As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow ... This role combines strong technical expertise in data engineering with a passion for delivering ...

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Data Engineering Fellow information

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.

Are data engineering fellows still in demand?

Data engineering fellows are in high demand due to the increasing need for managing large data systems, building data pipelines, and working with tools like SQL, Python, and cloud platforms. Organizations across industries seek professionals with skills in data architecture, ETL processes, and distributed computing to support data-driven decision making.

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.

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.
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What job categories do people searching Data Engineering Fellow jobs look for?

The top searched job categories for Data Engineering Fellow jobs are:

Data Engineering Fellow jobs near you
Infographic showing various Data Engineering Fellow job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Engineer Fellowship

Tech Impact

Wilmington, DE

$40/hr

Contractor

Re-posted 15 days ago

Job description


Data Innovation Lab

Data Engineer Fellowship
  • Join an innovative, like-minded team that focuses on your personal growth and accelerating your career!
  • Use your skills and experience for social good.
  • This is an hourly contract position.
  • 20 hours per week.
  • $40/Hour
  • Fellowship program runs from August 2026 to December 2026.

About Us
Tech Impact's Data Innovation Lab (Tech Impact) exists to engage local and global organizations in an ongoing conversation around the use of advanced data analytics and artificial intelligence to fast-forward research ideas out of the lab and into the marketplace.
Our mission is to develop novel data and analytics approaches that can disrupt the status quo and fundamentally alter a current issue or problem. Using best practices, diverse industry experience, access to technical and scientific talent, and core technologies, the lab will solve community-based issues while attracting national talent to the region and providing work for the technical and innovative talent of Delaware.
For more information, visit our website.
About the Opportunity
Tech Impact is looking for Data Engineers to join our Fellowship Program, in Delaware. The Fellowship Program will run from August 2026 to December 2026 and is a hybrid role. The successful candidate will have or will establish residence in Delaware. Along with our Lead Data Engineer, our Data Engineers serve as our primary delivery resource for consulting, designing, and building data warehouses.
The Fellowship is intended for technologists with a deep technical skill set and a strong desire to serve their communities. As a Data Engineer, you will work with our partners to develop and deploy production-grade solutions to social good problems. You will be expected to collaborate across system integration projects, ideally creating solutions that involve ETL/ELT and data modelling and implementing data warehouses that support our data narrative builds aiming to advance our mission. Your work will directly lead to improving the lives of people in communities in Delaware and beyond.
Responsibilities include, but are not limited to:
  • Design, build, and deploy ETL/ELT solutions across different projects among our team
  • Create and manage Cloud services (Azure, AWS) to support all aspects of our tech products, including their delivery
  • Organize and communicate personalized findings to clients and stakeholders
  • As part of the broader data team, propose innovative solutions to address sourcing and bridging data/data knowledge gaps amongst our team
  • Contribute to innovative projects, specifically to idea generation, idea incubation, and experimentation.
  • Serve as a liaison between government, corporate, community, and non-profit teams to effectively source and represent data solutions

More About You 
Our typical candidate holds a Master's degree in mathematics, computer science, psychology, public health, or another related quantitative field. However, undergraduates or individuals who have relevant training will also be considered.
In addition, we require strong skills, experience, and knowledge in the following:
  • Implementing data warehouses and appropriate governance
  • System integration projects, ideally with the creation of solutions that involve ETL/ELT and data modelling
  • Production-level SQL and one other relevant scripting language (Python, Java, R, etc.)
  • Implementing modern data pipelines (batch, real-time) using cloud-based services or enterprise-grade data integration tools/platforms (Informatica, Talend, SSIS, Azure Data Factory, etc.)
  • Implementing and managing cloud-based data services 
  • DevOps and CI/CD processes
  • Proven ability to understand business processes in detail and translating these into building data pipelines
  • Excellent organizational skills, with the ability to navigate organizing/prioritizing work efficiently and effectively
  • A preference for experience handling confidential data and information with integrity in a shared cloud environment 

Employment Policy
As an Equal Opportunity Employer, Tech Impact embraces diversity and does not discriminate in employment based on age, race, color, creed, sex, gender, identity, religion, marital status, veteran’s status, national origin, disability, or sexual orientation. 
  • ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. 
  • Requires the ability to speak, hear, see and use a computer and other office-related equipment. 
  • Also requires the ability to sit for extended periods of time, stand, stoop, crawl and lift to 50 lbs. 
  • May require local and regional travel.
 

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