2 дня назад
Data / Backend Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data / Backend Engineer (AI data infrastructure): Building secure connectors, ingestion and ETL pipelines, metadata harmonization, SQL workflows, entity-resolution support, and backend integrations for a greenfield AI solution with an accent on data quality, traceability, and reliable operation. Focus on designing source integrations, normalizing schemas, creating automated tests, and establishing reusable onboarding and monitoring patterns.
Location: USA; applicants must be sole U.S. Citizens. Dual citizens are not eligible.
Company
delivers analytics, machine learning, data analysis, cybersecurity, and business optimization solutions for federal government agencies.
What you will do
- Design and build secure connectors to approved internal and external data sources.
- Develop ingestion, ETL, transformation, validation, and data-quality pipelines.
- Harmonize metadata, normalize schemas, and support entity resolution, deduplication, and record linkage.
- Write and optimize SQL for backend services, analysis workflows, and reporting features.
- Integrate data services with a greenfield AI solution, enterprise search, and enterprise data platforms.
- Create automated tests and document lineage, schemas, dependencies, and failure-recovery procedures.
Requirements
- Strong experience building data connectors, ingestion pipelines, or ETL/ELT workflows.
- Strong SQL skills and experience with relational or analytical data stores.
- Experience with Python or another language used for data and backend engineering.
- Knowledge of metadata harmonization, normalization, schema mapping, and data-quality controls.
- Experience integrating backend services and APIs, plus understanding of entity resolution, deduplication, or record linkage.
- Experience with automated testing, troubleshooting, documentation, and reliable pipeline operation.
Nice to have
- Experience with enterprise search, document-oriented data, retrieval systems, or AI-ready data pipelines.
- Experience with governed enterprise data platforms and access-controlled sources.
- Familiarity with data lineage, observability, reconciliation, privacy, or security controls.
- Experience in federal, regulated, or security-conscious environments.
Culture & Benefits
- Health, dental, and vision insurance.
- 401(k) plan with employer match.
- Certification stipends and professional development opportunities.
- Flexible work arrangements, including remote options when permitted by contract.
- Paid time off and holidays.
Hiring process
- The anticipated position is contingent upon contract award and final customer approval.
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