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Cloud Data Engineer

Peerless Technologies

Dayton, OH

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JOB DETAILS
SKILLS
Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache, Apache Cassandra, CCNA - Cisco Certified Network Associate, Cloud Computing, Community Support, CompTIA Security+, Computer Science, Data Management, Data Migration, Data Science, Database Administration, IAT - Information Assurance Technical, Information/Data Security (InfoSec), Integrated Circuits (ICs), Intelligence Community, Machine Learning, Microsoft Windows Azure, MongoDB, Multitasking, Oracle, PostgreSQL, Python Programming/Scripting Language, Regulatory Compliance, Relational Databases (RDBMS), SQL (Structured Query Language), Scalable System Development, Software Engineering, System Migration, Time Management, Top Secret Clearance, Training Data Sets, United States Citizen
LOCATION
Dayton, OH
POSTED
Today

Peerless is searching for an experienced Cloud Data Engineer to be responsible for designing, building, and maintaining scalable, secure, and efficient data infrastructure and pipelines in cloud environments. Your work ensures that large volumes of data are stored, processed, and made available for analysis while meeting business needs and compliance requirements.

Required Skills

  • Must be a US citizen with the ability to get a Top Secret Clearance
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related STEM field (Master’s preferred).
  • 5+ years of relevant work experience in data engineering, database administration, or object storage management.
  • Must possess an IAT Level II certification (e.g., Security+, CCNA Security, CySA+)

Required Qualifications:

  • Proven experience managing databases and object storage solutions across on-premises, cloud, inter-region, and inter-cloud platforms.
  • Expertise in cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
  • Hands-on experience with object storage technologies (e.g., AWS S3, MinIO, Ceph) and data transformation pipelines (e.g., Apache Airflow, Argo Workflows, Python).
  • Strong proficiency in Python, SQL, and modern data engineering frameworks.
  • Familiarity with both relational (e.g., Oracle, PostgreSQL) and non-relational databases (e.g., MongoDB, Cassandra).
  • Experience with data tiering, record/object-level authorization, and secure data handling.
  • Ability to handle multiple projects and deadlines in a fast-paced environment.

Desired Qualifications:

  • Experience supporting Intelligence Community (IC) mission programs.
  • Knowledge of data catalogs, search/indexing, and discovery tools.
  • Experience with streaming data (e.g., Kafka) and event-driven architectures.
  • Familiarity with DevSecOps, security scanning, and accreditation processes.
  • Understanding of analytics, machine learning (ML), or exploitation workflows consuming large datasets.
  • Prior experience modernizing or migrating legacy data systems.

About the Company

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Peerless Technologies

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