aic#pythonsqlsnowflakeawsairflowdata pipelinessql servermarket data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$175к-200к/год
$160к$190кмедиана$230к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Роль описана четко и дает серьезную ответственность за системы обработки финансовых данных в реальном времени, но широкий охват классов активов и поддержка продакшена могут повысить нагрузку.
?Широкая зона ответственности
Актуальный стек
Понятная ответственность
Финансовые технологии
Развитый пакет льгот
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Market Data Engineer (C#): Building and supporting reliable market data feed handlers and downstream processing systems across equities, futures, options, FX, and fixed income with an accent on real-time data, reference data, pricing, and production reliability. Focus on integrating vendor feeds, processing trades and quotes, optimizing SQL Server and Snowflake workflows, and modernizing data pipelines on AWS.
Location: New York, hybrid with three days of in-office collaboration and two remote days per week
Salary: $175,000–$200,000 per year
Company
hirify.global is a SaaS capital markets platform services company providing trading, data, analytics, transaction cost analysis, compliance, clearing, and infrastructure solutions across multiple asset classes.
What you will do
Integrate and support market data feeds from ICE, Refinitiv, S&P, and other providers, including message formats, identifiers, entitlements, and configuration.
Develop and maintain C# feed handlers and real-time processing systems for trades, quotes, Level 1 data, and supported Level 2 market depth.
Support equities, futures, options, FX, and fixed income reference, pricing, historical, and intraday data.
Develop SQL Server and Snowflake ingestion, transformation, validation, reconciliation, and analytical workflows.
Troubleshoot interruptions, data gaps, processing bottlenecks, and production issues while improving reliability, throughput, and recovery.
Automate validation and operational tasks with Python, modernize workflows using AWS, and collaborate with TCA engineers, product teams, and stakeholders.
Requirements
8–10+ years of relevant professional experience in software engineering and financial market data systems.
Bachelor’s degree in Computer Science, Data Engineering, or a related field.
Strong knowledge of equities, futures, options, FX, and fixed income market data, including identifiers, symbology, mappings, and pricing.
Hands-on C# development building or maintaining feed handlers, market data applications, or real-time data processing systems.
Strong SQL development and Microsoft SQL Server experience, including complex queries, stored procedures, performance tuning, and troubleshooting.
Hands-on Snowflake and AWS Cloud experience.
Practical experience integrating external market data feeds, preferably ICE, Refinitiv/LSEG, or comparable vendors.
Strong debugging, analytical, and problem-solving skills with the ability to troubleshoot production issues independently, own deliverables, and work with minimal supervision.
Ability to independently validate AI-generated code for correctness, security, performance, and maintainability when using AI-assisted development tools.
Nice to have
Vendor APIs, feed protocols, entitlement management, and vendor-specific message formats.
High-volume or tick data, trade and quote normalization, and market data quality controls.
Snowflake, AWS/S3, Apache Airflow or similar orchestration, and large-scale data processing.
Trade Cost Analysis, trading analytics, financial data platforms, data governance, and reconciliation.
Git, CI/CD, Liquibase, automated deployment, or Snowflake/AWS certification.
Culture & Benefits
Permanent full-time employment with a hybrid work model balancing office collaboration and remote work.
Medical, dental, and vision insurance, FSA and HSA accounts, 401(k), and pre-tax transit and parking benefits.
22 paid time-off days annually with rollover, paid holidays, parental leave, volunteering time, and milestone PTO additions.
Professional development days, equipment budget, backup child and pet care, tutoring services, and anniversary bonuses.
Cell-phone, gym, wellness, healthcare-premium, and meal-delivery subsidies.
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