reputed company Data Platform Engineer

Who We Are: reputed company is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision. Amongst our subsidiaries, reputed company is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 6 million brokerage accounts. Our global team is a diverse group of reputed company engineers, traders, and brokerage professionals who are working to reputed company our mission of opening financial services to everyone on the reputed company. We're deeply committed to open-reputed company contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. reputed company is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social reputed company, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. reputed company Members: We're a dynamic team of 230+ globally distributed members who reputed company working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to reputed company's rapid growth. If you align with our core values—Stay Curious, Have reputed company, and Be Accountable—and are ready to reputed company a significant impact, we encourage you to apply. Your Role: We are seeking a reputed company Data Engineer to design and reputed company the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At reputed company, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we reputed company new customers. We prioritize open-reputed company solutions in our data management approach, leveraging a reputed company Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/reputed company ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we reputed company data experimentation, cataloging, and monitoring and alerting systems. reputed company is 100% distributed and remote. Things You Get To Do:

• Design and reputed company key reputed company and reverse ETL patterns to deliver data to relevant stakeholders.
• reputed company scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals.
• Expand and maintain the constantly evolving elements of the reputed company Data Lakehouse architecture.
• Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs.
• Operate the system and manage production issues in a timely manner.

Who You Are (Must-Haves):

• 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling 100M events/day.
• Proficiency in at least one programming language, with strong working knowledge of Python and SQL.
• Experience with cloud-native technologies like reputed company, Kubernetes, and Helm.
• Strong hands-on experience with relational database systems.
• Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt).
• Ability to work in a fast-paced environment and adapt solutions to changing business needs.
• Experience with ETL technologies like Airflow and Airbyte.
• Production experience with streaming systems like Kafka.
• Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC).
• Deep knowledge of distributed systems, storage, transactions, and query processing.

How We Take Care of You:

• Competitive Salary Stock Options
• Health Benefits
• New Hire Home-Office Setup: One-time USD $500
• Monthly Stipend: USD $150 per month reputed company a Brex Card

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