Engineering Manager (Reference Data, Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Engineering Manager (Reference Data): Lead the Reference Data team in acquiring, cleansing, modeling, and integrating market and security master data from third-party providers with an accent on scalable frameworks using PySpark, Python, AWS, Terraform, Java, Kubernetes, and microservices. Focus on building performant data ingestion and distribution systems, developing AI-native products from prototype to production, and optimizing processes for data quality and operational efficiency.
Location: Remote, USA. Must be legally authorized to work in the United States without requiring current or future visa sponsorship.
Salary: $160,000 - $250,000 (base salary) + bonus + equity + benefits
Company
Global data and AI platform empowering investment professionals to manage nearly $9 trillion in assets across 1,400+ firms in 60 countries.
What you will do
- Drive technical direction in alignment with product counterparts, engineering peers, and the wider community.
- Build and manage a team of engineers to design, develop, and deploy scalable solutions meeting client requirements.
- Act as player-coach to build frameworks for high-performance financial data ingestion/distribution and AI-native products.
- Advocate for standard methodologies, automation, and optimizations to improve throughput, latency, and accuracy.
- Develop process controls and metrics to enhance data quality and operational efficiency.
- Deliver high-quality results in a fast-paced environment while driving continuous improvement.
Requirements
- 2+ years proven experience leading engineering teams; 5+ years professional backend engineering as individual contributor.
- Computer science degree or equivalent experience.
- Strong problem-solving and decision-making skills.
- Prior experience with distributed systems, microservices, and messaging queues.
- Working knowledge of at least one OOP language (PySpark, Python, Java), relational databases, SQL, and data pipelines.
- Legally authorized to work in the US without visa sponsorship (H-1B, F-1/OPT, etc.).
Nice to have
- Knowledge of financial concepts (stocks, bonds, etc.).
- Passion for FinTech and solving complex investment management problems.
Culture & Benefits
- Act Like an Owner: Think and operate with intention, purpose, and care.
- Build Together: Collaborate to unlock best solutions and deliver lasting value.
- Champion Our Clients: Exceed expectations for client success.
- Drive Innovation: Be bold in problem-solving to transform the industry.
- Embrace Learning: Engage community with a growth mindset.
- Equal opportunity employer committed to diversity, inclusion, and accommodations for disabilities.
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