Data Architect / Data Engineer

Mbi Llc; Wilmington (DE); On-site; USD 90,000 - 130,000; Full time

Job summary

Mbi Llc seeks a data engineer to help develop and manage the data infrastructure, focusing on pipelines and ETL to ensure secure, compliant data access.

The role requires 3–5 years of data engineering or cloud experience, strong SQL and proficiency in Python/Java/Scala, Azure or similar cloud, and Docker/Kubernetes for scalable, real-time analytics.

Qualifications

• Bachelor's degree in CS/IT/Engineering (Master's preferred).
• 3–5 years of experience in data engineering, data architecture, or cloud engineering.
• Proficient in SQL and at least one programming language (Python, Java, or Scala).
• Experience with Azure or another cloud platform.
• Familiarity with containerization/orchestration tools (Docker, Kubernetes).
• Strong understanding of cybersecurity, data governance, and compliance.

Responsibilities

• Support the development and management of the data infrastructure for the DOJ Data Lab. Assist in data pipelines and ETL processes.
• Ensure data security, compliance, and optimization. Automate workflows to support real-time data access.

Skills

SQL

Python/Java/Scala

Cloud platforms (Azure)

Cybersecurity

Data governance

Education

Bachelor's degree in CS/IT/Engineering

Master's preferred

Tools

Docker

Kubernetes

Job description

- Support the development and management of the data infrastructure for the DOJ Data Lab Assist in data pipelines and ETL processes

- Ensure data security, compliance, and optimization Automate workflows to support real-time data access.

Required

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Master's preferred).
• 3-5 years of experience in data engineering, data architecture, or cloud engineering.
• Proficient in SQL and at least one programming language (Python, Java, or Scala).
• Experience with Azure or another cloud platform.
• Familiarity with containerization/orchestration tools (e.g., Docker, Kubernetes).
• Strong understanding of cybersecurity, data governance, and compliance.

Preferred Skills

• Experience in government, public safety, or legal data environments.
• Familiarity with GIS data, real-time streaming technologies, or Airflow.