Senior Data Engineer

🔥 12 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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, build, and evolve the core data platform infrastructure, including distributed query engines, orchestration, warehousing, and cataloging • Own lakehouse infrastructure as code, managing deployments through Terraform and Ansible on Kubernetes • Build and maintain low-latency streaming and CDC ingestion pipelines, as well as batch ingestion paths landing in Iceberg • Develop and scale the BI landscape for performant, self-serve access to lakehouse data • Enforce platform reliability best practices, including monitoring and alerting, on-call rotations, incident response, maintenance windows, runbooks, and SLAs • Partner with DevOps, Analytics Engineering, and other stakeholders to close infrastructure gaps and support new data requirements

🎯 Requirements

• 5+ years of experience in Data Engineering, including 2+ years building and operating scalable, low-latency data platforms handling > 100M events/day • Strong hands-on experience running data infrastructure on Kubernetes, with cloud-native tooling like Docker and Helm • Production experience with IaC: Terraform, Ansible, and ArgoCD (or equivalents) • Deep knowledge of distributed systems (storage, transactions, and query processing) with hands-on experience operating open-source query engines like Trino or Presto • Strong experience with object storage and open table formats, specifically Apache Iceberg • Experience with streaming and CDC systems: Kafka, Redpanda, and Debezium • Hands-on experience with orchestration frameworks (Airflow) and ELT tools (Airbyte) • Strong working knowledge of Python and SQL for building pipelines and platform tooling • Experience with Google Cloud Platform and its data services (GCS, Cloud Build, Cloud SQL, Dataproc, etc); or related experience with other cloud services • Ability to thrive in a fast-paced startup environment and adapt infrastructure to rapidly changing needs

🏖️ 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