Python Developer - Build Secure Data Pipelines for Defense

Cornerstone Defense LLC

Herndon (VA)

On-site

USD 90,000 - 120,000

Full time

6 days ago
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Benefits offered by this job

Medical plan
Dental plan
Vision plan
Generous PTO
401(k)
HSA/FSA
Life insurance
Tuition reimbursement
Travel assistance
Referral program

Job summary

Cornerstone Defense is seeking a Python Developer to design and implement data pipelines that integrate diverse data sources with analytics tools in support of national security missions. The role requires hands-on coding in Python, strong SQL and PostgreSQL expertise, and experience with ETL processes within a Linux environment.

Based in Herndon, VA, you will collaborate with analysts and cross-functional teams to translate data requirements into scalable solutions and maintain production data

Qualifications

  • Experience coding in Python.

Responsibilities

  • Create robust and resilient data pipelines to connect data sources to analytics tools.
  • Interact and collaborate across the services and communities involved in multi-domain Cyber Defense to achieve breakthrough improvements in capabilities.
  • Enumerate the necessary datasets and design the data model and schemas to support the requirements.
  • Provide platform support, including problem solving and debugging, for production issues.
  • Analyze data sources for accuracy, data prioritization, and apply appropriate logic to developed solutions.

Skills

Python
SQL
PostgreSQL
ETL
Data pipelines
Linux
JavaScript
Node.js

Job description

Cornerstone Defense is seeking a Python Developer to design and implement data pipelines that integrate diverse data sources with analytics tools in support of national security missions. The role requires hands-on coding in Python, strong SQL and PostgreSQL expertise, and experience with ETL processes within a Linux environment.

Based in Herndon, VA, you will collaborate with analysts and cross-functional teams to translate data requirements into scalable solutions and maintain production data

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