Senior Data Engineer

🕒 April 1

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Alpaca

WebsiteLinkedInAll Job Openings

201 - 500 employees

🔌 API

💳 Fintech

₿ Crypto

API • Fintech • Crypto

Alpaca is a fintech company that provides a comprehensive brokerage and trading platform through a suite of APIs. These APIs enable developers and businesses to integrate algorithmic trading, app development, and embedded investing into their services. Alpaca offers services like trading in US stocks, ETFs, and cryptocurrency with options for local currency transactions. The company is recognized for its cyber security practices and is a member of FINRA and SIPC. Alpaca is ideal for fintech startups, broker-dealers, hedge funds, and other financial services looking to build sophisticated trading applications and platforms with minimal friction through their well-documented Broker API.

📋 Description

• Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders. • Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals. • Expand and maintain the Alpaca Data Lakehouse architecture's constantly evolving elements. • 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.

🎯 Requirements

• 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 Docker, Kubernetes, and Helm. • Strong hands-on experience with relational database systems and object storage implementations like Apache Iceberg. • Strong hands-on experience with Google Cloud Platform and its various data-related services (Composer, Dataproc, Datastream, etc.). • 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 orchestrators / frameworks like Apache Airflow and Airbyte. • Production experience with streaming systems like Kafka. • Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), like Terraform. • Deep knowledge of distributed systems, storage, transactions, and query processing utilizing open-source distributed query engines like Trino (formerly PrestoSQL).

🏖️ Benefits

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