Data Engineer: Scalable ETL & Secure Pipelines (AWS)

CACI International Inc

Oklahoma City (OK)

On-site

USD 68,000 - 121,000

Full time

4 days ago
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Job summary

CAC I is seeking a Data Engineer to design, build, and sustain data infrastructure and pipelines powering analytics, reporting, automation, and mission-critical decision-making. This role ensures data is ingested, transformed, governed, and delivered across secure enterprise systems.

You will partner with software engineers, analysts, and data scientists to provide high-quality, accessible data for operational and strategic outcomes while operating in regulated environments and adhering to

Qualifications

  • Minimum 5 years of experience as a DBA, Developer, or related field.
  • 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.

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
Java
SQL
ETL/ELT
Data modeling
AWS
Data governance

Education

Information systems / Computer science degree

Job description

CAC I is seeking a Data Engineer to design, build, and sustain data infrastructure and pipelines powering analytics, reporting, automation, and mission-critical decision-making. This role ensures data is ingested, transformed, governed, and delivered across secure enterprise systems.

You will partner with software engineers, analysts, and data scientists to provide high-quality, accessible data for operational and strategic outcomes while operating in regulated environments and adhering to

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