Data Engineer (AWS)

TL;DR

Data Engineer (AWS): Design, build, and optimize cloud-native data pipelines that ingest, transform, and deliver data from diverse sources with an accent on reliability, security, and accessibility for analytics, APIs, and AI/ML use cases. Focus on creating reusable data products, scalable ingestion frameworks from batch to near real-time, and turning raw data into actionable intelligence for national security missions.

Location: McLean, Virginia, USA. Remote, but may require occasional in-person work at Booz Allen or customer facility. Top Secret clearance required.

Salary: $77,600 - $176,000 USD (annual).

Company

hirify.global is a consulting firm building scalable data platforms for enterprise insights and national security missions.

What you will do

• Design, build, and optimize ETL/ELT pipelines for ingesting, transforming, and delivering data from APIs, files, and databases.
• Work in AWS-based ecosystem to support analytics, APIs, and AI/ML with reliable, secure data.
• Develop reusable data products and scalable frameworks for batch and near real-time processing.
• Collaborate with cloud engineers, API developers, data analysts, and stakeholders.
• Translate technical concepts for non-technical audiences to enable mission-critical insights.

Requirements

• 3+ years of experience in data engineering, integration, or backend data development
• Experience designing, building, and maintaining ETL/ELT pipelines
• Experience with SQL and Python
• Experience ingesting/integrating data from multiple sources (APIs, files, databases)
• Experience with AWS cloud data platforms and distributed processing
• Experience in Agile environments and cross-functional collaboration
• Top Secret clearance
• Bachelor's degree in Computer Science, Data Science, or Engineering

Nice to have

• AWS services: S3, Glue, Athena, Lambda, Redshift
• Data validation, quality checks, monitoring in pipelines
• Data lake/lakehouse, Parquet, Apache Spark
• DevSecOps, GitLab CI/CD, Terraform
• Data modeling, medallion architecture, API/event-driven patterns

Culture & Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave, professional development, tuition assistance
• Work-life programs, dependent care, recognition awards
• People-first culture emphasizing collaboration, virtual or in-person
• Cameras on during virtual meetings for engagement