1 день назад
Database Engineer
142 638 - 190 280$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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