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1 день назад

Database Engineer

142 638 - 190 280$
Формат работы
remote (только USA)
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
Database Engineer (Data Engineering): Building source adapters, normalization logic, and ETL/ELT pipelines that transform heterogeneous legacy data into consistent risk signals with an accent on API integrations, data quality, and reliable ingestion. Focus on implementing Kafka-based streaming, handling schema evolution and reconciliation, and optimizing scalable pipeline performance.

Location: Remote within the United States; occasional travel may be required in the DMV area. Applicants must currently reside in the United States.

Salary: USD $142,638–$190,280 per year.

Company

hirify.global provides AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

  • Build source adapters and connectors for APIs, legacy systems, databases, files, and event streams.
  • Develop normalization, mapping, validation, enrichment, and standardization logic for a common risk-signal schema.
  • Implement production-grade ETL/ELT pipelines with testing, observability, error handling, retries, and backfills.
  • Produce and consume Kafka or equivalent streaming events for near-real-time signal delivery.
  • Maintain data contracts, mappings, lineage, deduplication, schema evolution handling, and source reconciliation.
  • Optimize pipeline throughput, latency, reliability, documentation, and operational runbooks.

Requirements

  • Active Top Secret security clearance must be maintained.
  • Bachelor’s degree with 8–10 years of experience, or a master’s degree with 6–8 years of experience.
  • 3–5 years of data engineering experience building production-grade ingestion and transformation pipelines.
  • Strong experience with API integrations and ETL/ELT development in complex environments.
  • Experience integrating heterogeneous or legacy systems with inconsistent schemas and data quality.
  • Experience with REST/API frameworks and maintainable, well-tested integration services.

Nice to have

  • Strong SQL skills and familiarity with NoSQL databases.
  • Proficiency in Python or Java for data services and transformation logic.
  • Hands-on Kafka producer and consumer experience or equivalent event-streaming platform experience.
  • AWS Data Engineer certification, graph database experience, or AWS DMS experience.

Culture & Benefits

  • Remote work with possible travel in the DMV area.
  • Work focused on complex, distributed, mission-based operating environments.
  • Equal opportunity employment for protected groups, including protected veterans and individuals with disabilities.

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