Data Engineer Intern

Must be a U.S. Citizen. Due to the nature of our U.S. Government contracts, this requirement is mandatory for security and compliance reasons.

General Genomics, Inc. (GGI) is an AI/ML firm headquartered in Oklahoma City, OK, with our wholly owned subsidiary General Genomics AI located in Fort Worth, TX. Our mission is to address bioscience, bioinformatics, and national security challenges through innovative technology, enabling clients to analyze and interpret large structured and unstructured data sets efficiently. We specialize in developing customized algorithms that support critical decision-making for various organizational missions. GGI has been recognized as a Small Business Administration AI Accelerator (AIA) in partnership with Oklahoma City’s Metro Technology Center (MTC).

Internship Opportunity – Data Engineering & Analytics

Location: Fort Worth, TX (Medical District, Downtown Fort Worth)

Company: General Genomics, Inc. (GGI)

Internship Duration: 12 months (Late May/Early June 2025 – End of May 2026), goal is to onboard the new intern in the middle of May 2025.

Work Schedule: Hybrid (3 days in-office per week during summer, minimum of 2 half-days or one full day per week in-office during the school year)

Hours: Maximum of 20 hours per week during the academic year, not to exceed 25 hours per week in the summer, depending on client workload.

Compensation: Paid internship, commensurate with the candidate’s qualifications and experience. No benefits are provided with this role.

Internship Role

As an Intern - Data Engineering & Analytics, you will engage in hands-on projects focused on data processing, analysis, and engineering solutions. You will be an integral part of the data team, collaborating on real-world challenges that impact healthcare, bioinformatics, and national security sectors.

Responsibilities

• Assist in data engineering tasks, including ingestion, transformation, and structuring of large data sets.
• Apply Python and SQL for data analysis and automation.
• Work with data processing frameworks such as Apache Spark/pyspark.
• Implement and optimize workflows using Airflow and dbt.
• Explore and manipulate multi-modal datasets.
• Contribute to problem-solving initiatives requiring innovative, non-standard solutions.
• Participate in team discussions, providing insights and analytical support.

Qualifications

• Proficiency in programming with strong foundations in Python and SQL.
• Experience with data ingestion tools (Airflow, dbt) is highly preferred.
• Strong understanding of data manipulation, organization, and analytics.
• Excellent problem-solving and critical-thinking skills.
• Strong ability to work both independently and collaboratively.
• Excellent verbal and written communication skills.
• Interest in bioinformatics, bioscience, medical imaging, and genetics is a plus.
• Must possess strong GPT prompt engineering skills to develop, refine, and implement effective AI-driven solutions across multidisciplinary teams.

Eligibility Requirements

• Must be a U.S. Citizen. Due to the nature of our U.S. Government contracts, this requirement is mandatory for security and compliance reasons.
• Must be pursuing one of the following academic programs:
• A 4-year undergraduate degree with a minimum 3.0 GPA
• A 2-year master’s program
• A Doctoral program
• Must be returning to school in the fall semester.
• Must be able to work in-office at the Fort Worth location.

Additional Details

• Technology & Equipment: GGAI will furnish all necessary computer devices for the role.
• Employment Status: Texas is a right-to-work state, meaning employment is at-will, and either the employer or the employee may terminate the employment relationship at any time, with or without cause, provided it does not violate applicable laws.
• Background Check: A thorough background check will be conducted in accordance with Texas Workforce laws, including compliance with authorization and disclosure requirements (Texas Workforce Commission). Employers must also follow Fair Credit Reporting Act (FCRA) guidelines (Texas Workforce Commission).
• References: Candidates are encouraged to provide up to three references, including email or phone contact information.

Application Process

Interested candidates should submit their resume, a cover letter, and unofficial transcripts demonstrating their academic standing.