Senior Data Platform Engineer — Remote + Stock Options

Alpaca

United States

Remote

USD 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Competitive Salary & Stock Options
Health Benefits
Home-Office setup: USD 500 one-time
Brex Card: USD 150 monthly

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
SQL
Docker
Kubernetes
Helm
RDBMS
dbt
Airflow
Airbyte
Kafka
ETL
Data lakehouse
DevOps
IaaC
Distributed systems

Tools

Airflow
Airbyte
Kafka

Job description

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.

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