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$150к-185к/год
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Зона ответственности в новом федеральном проекте описана четко, а стек актуальный. При этом работа только на площадке и строгие требования к допуску заметно ограничивают доступность вакансии.
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Актуальный стек
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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