Data Engineer: Scalable Pipelines for AI & Investigations

Penlink; Lincoln (NE); On-site; USD 100,000 - 180,000; Full time

Job summary

Penlink in Lincoln, Nebraska is seeking a Data Engineer to design and maintain data pipelines powering AI and analytics for investigative platforms. You will ingest structured and unstructured data, build scalable data models, collaborate with AI Engineers and Data Scientists, and ensure data quality while following secure handling practices for sensitive law enforcement data.

A Bachelor's degree or equivalent is required, with strong SQL and ETL skills, and the ability to work in an Agile

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
• Design, build, and maintain data pipelines and data processing systems that move data reliably from source to consumption.
• Manage data ingestion from structured and unstructured sources, including high-volume telecommunications and digital evidence data.
• Build and support the data infrastructure underlying AI models and analytics workflows.
• Develop and maintain data models and schemas that support both operational and analytical use cases.
• Optimize the performance, scalability, and reliability of data systems as data volumes grow, resolving pipeline failures and data discrepancies as they arise.
• Establish and monitor controls for data quality, integrity, and availability.
• Partner with AI Engineers, Data Scientists, and software engineering teams to prepare datasets, support model development, and align data architecture with platform requirements.
• Document data flows, transformations, and system architecture to support maintainability and knowledge sharing.
• Follow secure development and data handling practices appropriate to sensitive law enforcement data.
• All other duties as assigned

Responsibilities

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
• Design, build, and maintain data pipelines and data processing systems that move data reliably from source to consumption.
• Manage data ingestion from structured and unstructured sources, including high-volume telecommunications and digital evidence data.
• Build and support the data infrastructure underlying AI models and analytics workflows.
• Develop and maintain data models and schemas that support both operational and analytical use cases.
• Optimize the performance, scalability, and reliability of data systems as data volumes grow, resolving pipeline failures and data discrepancies as they arise.
• Establish and monitor controls for data quality, integrity, and availability.
• Partner with AI Engineers, Data Scientists, and software engineering teams to prepare datasets, support model development, and align data architecture with platform requirements.
• Document data flows, transformations, and system architecture to support maintainability and knowledge sharing.
• Follow secure development and data handling practices appropriate to sensitive law enforcement data.
• All other duties as assigned

Skills

Data pipelines

ETL/ELT processes

SQL

Programming (Python/C#/Scala)

Cloud / distributed data systems

Data modeling & schema design

Data warehousing

Agile / Git version control

Security clearance (US government)

Unstructured data / digital evidence

Education

Bachelor's degree in Computer Science or related field

Tools

Oracle Database

Airflow / orchestration tools

Git

Job description

Penlink in Lincoln, Nebraska is seeking a Data Engineer to design and maintain data pipelines powering AI and analytics for investigative platforms. You will ingest structured and unstructured data, build scalable data models, collaborate with AI Engineers and Data Scientists, and ensure data quality while following secure handling practices for sensitive law enforcement data.

A Bachelor's degree or equivalent is required, with strong SQL and ETL skills, and the ability to work in an Agile