Senior Data Engineer with Secret Clearance (Onsite)

Black Cape; Arlington (VA); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

401K

Competitive Salary

Generous Time Off

Team-Building & Company Events

Tuition Reimbursement

Parental Leave

Job summary

Black Cape is hiring a Fantastic Data Engineer for on-site work at the Pentagon (Arlington) or Marks Center (Alexandria), VA, or Arlington HQ. The role requires an Active Secret clearance and a willingness to obtain TS/SCI, with US citizenship typically expected.

You will work on cloud-native data solutions for DoD/IC customers and modern data platforms. We seek a mid-to-senior level data engineer with 3+ years of experience, strong Python and Databricks skills, and a passion for data movement,

Qualifications

• 3+ years of professional data engineer experience.
• Experience with Python for data manipulation and scripting.
• Databricks experience for data engineering tasks.
• Proficient in designing and implementing ETL data processes.
• Experience with at least one relational database (PostgreSQL, MySQL or SQLite).
• Experience with Agile SCRUM methodologies.

Responsibilities

• Ensure data availability (movement, modification, and storage) for data users.
• Collaborate with Software Engineers and Data Scientists to deploy data solutions.
• Build scalable data pipelines and dashboards for stakeholders.
• Contribute to cloud-native full-stack data applications and AI/ML workflows.

Skills

Python

Databricks

ETL design

Relational databases

Agile SCRUM

Data movement & storage

Tools

PostgreSQL

MySQL

SQLite

Job description

Black Cape is hiring a Fantastic Data Engineer for on-site work at the Pentagon (Arlington) or Marks Center (Alexandria), VA, or Arlington HQ. The role requires an Active Secret clearance and a willingness to obtain TS/SCI, with US citizenship typically expected.

You will work on cloud-native data solutions for DoD/IC customers and modern data platforms. We seek a mid-to-senior level data engineer with 3+ years of experience, strong Python and Databricks skills, and a passion for data movement,