Data Engineer

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July 16

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Castle Funds

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Fintech • B2C • eCommerce

Castle Funds is a platform dedicated to simplifying the process of buying and managing Bitcoin investments. It offers a personal private retirement vault for handling Bitcoin IRAs and provides various services such as recurring buys, self-custody solutions, and expert financial advice for both individual and business investors. Castle Funds aims to empower clients with comprehensive educational resources to navigate the Bitcoin landscape effectively, emphasizing the benefits of Bitcoin as a secure and superior financial asset.

2 - 10 employees

Founded 2017

💳 Fintech

👥 B2C

🛍️ eCommerce

📋 Description

• Architect and Build: Design, implement, and own scalable data pipelines to ingest and process data from various internal and third-party sources. • Own the Warehouse: Manage and optimize our Redshift Serverless data warehouse, ensuring high performance, reliability, and cost-efficiency. • Model for Impact: Develop and scale our dbt project to deliver clean, reliable, and well-documented data models that empower business intelligence and analytics. • Partner with Stakeholders: Collaborate with product, marketing, and finance teams to define and implement robust event tracking schemas and ensure data consistency across the organization. • Ensure Data Integrity: Establish best practices for data quality, observability, and monitoring. You'll build alerts and proactive solutions using tools like Datadog to maintain trust in our data. • Integrate Critical Tooling: Assist with managing our Customer Data Platform (RudderStack) and integrate key data sources, such as ad platforms and email marketing tools, into our central warehouse. • Champion Data Governance: Partner with our security team to implement and uphold data governance standards, ensuring data quality, security, and privacy compliance.

🎯 Requirements

• Proven experience as a Data Engineer or Senior Analytics Engineer, ideally in a fast-paced startup environment where you've built systems from scratch • Deep expertise in a data warehousing (Redshift Serverless preferred) and a strong understanding of performance optimization • Expert-level SQL and Python proficiency for data pipelines and scripting • Hands-on experience building and maintaining data modeling and transformation workflows with dbt • Experience with modern data stack tools, including event streaming/ETL platforms (e.g., RudderStack, Fivetran) and data orchestration (e.g., Airflow, Prefect, Dagster) • Solid understanding of core AWS services (e.g., S3, Lambda, IAM, Glue) and concepts. • Experience working with data from major ad platforms (e.g., Google Ads, Meta Ads) and marketing automation tools, preferred • Familiarity with BI tools like AWS QuickSight, Tableau, or Looker, preferred • Experience with data governance and security in a regulated industry like FinTech, preferred • US timezones only

🏖️ Benefits

• We’re a growing team: Fully distributed across the world, Slack and Huddles are huge here. • We’re very flat: Leadership is desired and encouraged; we hire people who care about and use the product they are working on. • We’re Bitcoiners: We find solutions that encourage Bitcoin principles. We are often involved in the Bitcoin community through writing, podcasts, conferences, open-source projects, and time spent on Twitter to help educate the masses. We love Bitcoin, and it comes through in our daily chats, meetings, and actions.