Data Engineer

CACI International•Oklahoma City, OK

11d•$67,800 - $142,200

About The Position

The Data Engineer designs, builds, and sustains the data infrastructure and pipelines that power analytics, reporting, automation, and mission‑critical decision‑making. This role ensures that data is reliably ingested, transformed, governed, and delivered across secure enterprise systems. The Data Engineer partners closely with software engineers, analysts, data scientists, and business stakeholders to provide high‑quality, accessible data that enables operational and strategic outcomes.

Requirements

Minimum 5 years’ experience as a DBA, Developer, or related field
Commitment to documentation, process improvement, and high quality engineering practices
Understanding of data quality, data lineage, and governance in enterprise environments
Proficiency with at least one programming language used in data engineering (Python, Java, etc.)
Proficiency in SQL, data modeling, and ETL/ELT development
Experience building and maintaining data pipelines, integrations, and workflow orchestration in secure environments.
Strong experience working with large, complex datasets across multiple systems
Experience with relational database and data warehouse technologies.
Familiarity with cloud platforms (AWS, Azure, GCP) for data engineering workloads
Ability to collaborate with cross‑functional engineering and analytics teams to resolve technical issues

Nice To Haves

Bachelors or Masters in information systems, computer science, or related field
Experience supporting DoD, Intelligence Community, or other regulated mission environments
Excellent attention to detail
Strong ability to multitask
Strong communication and collaboration skills
Ability to troubleshoot complex data issues

Responsibilities

Assembling large, complex sets of data that meet business requirements from internal and external environments
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS, SQL, and other technologies
Design, build, and maintain scalable ETL/ELT data pipelines that support analytical, operational, and AI/ML workloads
Develop and maintain data models, schemas, and storage structures optimized for performance and usability
Implement data integration frameworks and APIs to enable secure data movement and interoperability
Collaborate with software engineers, analysts, and data science teams to ensure workflows are well supported
Monitor, troubleshoot, and optimize pipelines, ensuring high availability, data quality, and adherence to governance requirements
Document data architectures, processes, and engineering standards; contribute to continuous improvement within Agile/DevOps environments
Operate within compliance, security, and information assurance requirements, particularly in regulated or classified environments