Data Engineer: Cloud-Pipeline Architect + Secret Clearance

Avalore, LLC; Arlington (VA); Hybrid; USD 97,000 - 181,000; Full time

Benefits offered by this job

Health care plan

Retirement plan (401k/IRA)

Life insurance

Paid time off

Disability insurance

Training & development

Employee assistance program

Job summary

Avalore, LLC in Arlington, VA is seeking a Data Engineer to design, build, and maintain the core data infrastructure and pipelines needed to ingest, process, store, and transform data for diverse consumers. You will implement end-to-end pipelines, data models, and quality checks while ensuring scalability and security of the platform.

You will collaborate with data scientists and analysts, support data governance, and stay current with data engineering technologies and best practices.

Qualifications

• Bachelor's degree required; security-cleared or eligible preferred.
• Strong communication and self-motivated work ethic.
• Proficiency with Microsoft Office applications.
• Authorized to work in the United States without sponsorship.

Responsibilities

• Design, build, and maintain core data infrastructure and pipelines for ingestion, processing, storage, and transformation of data for multiple consumers.
• Develop and operate automated end-to-end data pipelines and data models; ensure scalability, reliability, and security of the data platform.
• Implement data quality checks, data lineage, and governance; document architecture and pipelines.
• Collaborate with data scientists and analysts, work with security teams to implement protections, and stay current with data engineering best practices.

Skills

Communication skills

Self-starter mindset

English proficiency

Microsoft Office

Education

Bachelor's Degree

Tools

Microsoft Office

Job description

Avalore, LLC in Arlington, VA is seeking a Data Engineer to design, build, and maintain the core data infrastructure and pipelines needed to ingest, process, store, and transform data for diverse consumers. You will implement end-to-end pipelines, data models, and quality checks while ensuring scalability and security of the platform.

You will collaborate with data scientists and analysts, support data governance, and stay current with data engineering technologies and best practices.