Senior Data Platform Engineer

Postgres
UNITED STATES
October 22, 2026
Full Time
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Job Description

Company: The Amatriot Group
Location: Chantilly, VA
Workplace Type: On-site
Employment Type: Full-time
Pay / Compensation: $150,000 – $170,000

About the Role

The Data Platform Engineer (Senior) supports advanced visual analytic applications by building and sustaining data pipelines, designing relational data platforms, and enabling high-performance analysis across structured and semi-structured data. This role helps streamline data processing, improve platform performance, strengthen secure data practices, and support scalable enterprise data services while contributing to cross-team standards and mentoring junior team members.

What You’ll Do / Key Responsibilities

  • Data Platform Engineering: Develop data-processing workflows and analytics for desktop- and web-based visual analytic tools, build and maintain secure data-ingestion pipelines, and design/optimize enterprise relational databases while establishing standards for operations and security.
  • Platform Automation and Infrastructure: Support Kubernetes-based data platform environments, develop and maintain Infrastructure as Code using Terraform, support GitLab CI/CD pipelines, and manage software artifacts using JFrog Artifactory within AWS cloud environments.
  • ETL and Data Integration: Develop and support ETL workflows using Python, Cribl, and Apache NiFi, support PostgreSQL database environments, and maintain Apache Kafka-based data streaming and integration capabilities.
  • Application and User Interface Support: Support user interface and application components using Vue.js, Flask, Elixir, Phoenix LiveView, and DaisyUI, integrating them with backend data-processing and platform services.
  • Technical Leadership: Mentor junior team members, contribute to data platform standards, and drive continuous operational improvements.

Requirements & Qualifications

  • Education: Bachelor’s degree (Required).
  • Experience: Minimum 8 years of relevant experience in data engineering, database design, or related fields (Required).
  • Technical Skills: Strong relational database design, robust SQL proficiency, and strong ETL/ELT processing skills (Required).
  • Domain Knowledge: Experience working with structured and semi-structured data, visualization technologies, high-performance computing, and mixed-technology environments (Required).
  • Security Clearance: Active TS or higher security clearance (Required).

Preferred / Bonus Qualifications

  • Experience supporting federal or secure, multi-enclave environments.
  • Background with advanced visualization platforms or high-volume data processing.
  • Knowledge of data modeling, data warehousing, and performance tuning.

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