Senior Data Platform Engineer

Alpaca; United States; Remoto; USD 180.000 - 240.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive Salary & Stock Options

Health Benefits

Home-Office setup: USD 500 one-time

Brex Card: USD 150 monthly

Descrizione del lavoro

Alpaca is seeking a Senior Data Engineer to design and develop the data management layer for our platform, ensuring scalability as we onboard larger customers and new jurisdictions. You will handle data across transactions, customer data, API logs, system metrics, augmented data, and third‑party systems, processing hundreds of millions of events daily in a Google Cloud Platform foundation.

We prioritize open-source solutions and operate a 100% distributed, remote team.

Competenze

• 7+ years of data engineering experience, incl. 2+ years building scalable, low-latency platforms.
• Proficient in Python and SQL.
• Experience with Docker, Kubernetes, and Helm on cloud-native stacks.
• Strong relational database knowledge.
• Experience with dbt for transformations.
• Experience with Airflow, Airbyte, and streaming systems like Kafka.
• Production exposure to CI/CD, IaC, and distributed systems.

Mansioni

• Design and oversee forward and reverse ETL patterns to deliver data to stakeholders.
• Develop scalable transformation patterns for BI tool integrations across business verticals.
• Expand and maintain Alpaca Data Lakehouse architecture.
• Collaborate with sales, marketing, product, and operations on data flow needs.
• Operate the system and manage production issues in a timely manner.

Conoscenze

Python

SQL

Docker

Kubernetes

Helm

RDBMS

dbt

Airflow

Airbyte

Kafka

ETL

Data lakehouse

DevOps

IaaC

Distributed systems

Strumenti

Airflow

Airbyte

Kafka

Descrizione del lavoro

Who We Are

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Ourrecent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40countries 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 experienced engineers, traders, and brokerage professionals who are working to achieve our mission ofopening financial services to everyone on the planet. We re deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, SocialLeverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and YCombinator.

Our Team Members

We re a dynamic team of 230+ globally distributed members who thrive 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 Alpaca s rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role

We are seeking a Senior Data Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, 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 onboard new customers. We prioritize open‑source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third‑party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems. Our team is 100% distributed and remote.

Things You Get To Do

• 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 constantly evolving elements of the Alpaca 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 Docker, 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 via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Recruitment Privacy Policy