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5 дней назад

Data Engineer (Python/PostgreSQL)

150 000 - 185 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (Python/PostgreSQL): Building the centralized PostgreSQL data layer and reusable Python ingestion pipelines for a federal analytics platform with an accent on data modeling, heterogeneous-source integration, security controls, and data quality. Focus on designing configuration-driven connectors, implementing inspectable analytic rules, troubleshooting pipeline and query issues, and setting engineering standards for a production data platform.

Location: Arlington, VA, USA; on-premises federal client environment.

Salary: $150,000–$185,000 per year.

Company

hirify.global is a fast-growing 8(a) government contractor providing digital transformation, data management and data science, and systems modernization services.

What you will do

  • Design and implement a governed centralized PostgreSQL data layer and shared data vocabulary for federal program, financial, payment, and performance data.
  • Architect Python ingestion pipelines with Airflow and build reusable, configuration-driven connectors for REST APIs, flat files, database replication, and SFTP.
  • Deploy pipelines through Git-based CI/CD with automated testing and security scanning to a Rancher-managed Kubernetes platform.
  • Implement PII anonymization, access controls, deterministic SQL analytic rules, data-quality processes, metadata, lineage, and data-currency indicators.
  • Set data-team standards, review engineering work, collaborate on API access, troubleshoot failures and performance issues, and produce documentation and knowledge transfer.
  • Participate in Agile ceremonies, sprint planning, code reviews, demonstrations, and continuous improvement.

Requirements

  • U.S. citizenship and an active Top Secret clearance or eligibility for a Top Secret Tier 5 clearance; no third-party arrangements, H-1B, or Green Card holders.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; equivalent experience may be considered.
  • 5+ years of professional data engineering experience, including 3+ years as a technical lead or senior engineer on a production data platform; 3+ years may apply with a master’s degree.
  • Expert SQL and PostgreSQL data modeling skills, including normalized and analytic schemas, partitioning, indexing, and performance tuning.
  • Strong Python pipeline-development skills and hands-on Airflow experience.
  • Experience designing reusable, configuration-driven ingestion from heterogeneous sources with schema validation and data-quality checks.
  • Experience with Docker, Kubernetes, Git-based version control, and CI/CD in containerized environments.
  • Experience handling PII and sensitive financial or program data under NIST SP 800-53 or equivalent controls.
  • Agile software-development experience, collaboration with technical and non-technical stakeholders, and federal contracting experience.
  • Strong written communication for data models, runbooks, documentation, and knowledge transfer.

Nice to have

  • Experience supporting federal civilian, financial-oversight, budget, or program-management IT systems.
  • Experience integrating SAP S/4HANA, Oracle, comparable ERP, Treasury, or payment platforms.
  • Experience with grants management or federal financial systems such as GrantSolutions, eRA, or Treasury payment systems.
  • Experience extracting structured data from PDF and DOCX documents at scale.
  • Experience with metadata management, data lineage, and data-catalog tooling.
  • Experience deploying to on-premises Kubernetes in restricted-internet federal environments; Rancher preferred.
  • Familiarity with Splunk integration and NIST SP 800-53 audit-logging requirements.

Culture & Benefits

  • Full-time role in an Agile federal contracting environment supporting a minimum viable product and its future expansion.
  • Work/life balance and performance-based cash-bonus eligibility.
  • Potential participation in company growth through incentives.
  • Health, dental, and vision insurance; generous PTO; life insurance; short- and long-term disability coverage; HSA; and a 401(k) with matching.

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