Data Engineer — Secure, Scalable AWS Pipelines

CACI; Oklahoma City (OK); On-site; USD 68,000 - 142,000; Full time

Job summary

ACI, with a focus on mission-critical analytics, seeks a Data Engineer to design and sustain data pipelines powering analytics and AI/ML workloads. You will ingest, transform, govern, and deliver data across secure enterprise systems, collaborating with software, analytics, and business teams.

You will build scalable ETL/ELT pipelines, maintain data models, and ensure data quality and security in line with governance requirements. Expect up to 10% travel in a continental US context.

Qualifications

• 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.

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

Skills

Python

SQL

Data Modeling

ETL/ELT

AWS

DevOps

Data Governance

Collaborative

Education

Bachelors or Masters in information systems, computer science, or related field

Tools

AWS

SQL

Job description

ACI, with a focus on mission-critical analytics, seeks a Data Engineer to design and sustain data pipelines powering analytics and AI/ML workloads. You will ingest, transform, govern, and deliver data across secure enterprise systems, collaborating with software, analytics, and business teams.

You will build scalable ETL/ELT pipelines, maintain data models, and ensure data quality and security in line with governance requirements. Expect up to 10% travel in a continental US context.