As a Data Engineer at Swan, you will design and build a data infrastructure, manage data quality, and collaborate with teams to ensure data governance and integrity.
The Company
The RoleSwan is the USA’s #1 Bitcoin wealth platform for families and businesses. We hire passionate Bitcoiners who want to work with a self-motivated and fully distributed startup team.
We are building a modern data stack to empower data-driven decision-making across our engineering, finance, marketing, sales, product, and operations teams.
As a Data Engineer at Swan, you will take a leading role in designing, building, and scaling our core data infrastructure. This is a high-impact position with significant ownership, giving you the autonomy to influence our technical architecture, define best practices, and create a robust data platform that directly accelerates Swan's growth.
Your responsibilities- 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
- 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
- Compensation for this role will be based on location and experience, and may include base salary, equity, benefits
Remote pay range (based on location and experience)
$100,000—$200,000 USD
Here's a bit about our culture
- 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.
Top Skills
Airflow
Aws (S3
Aws Quicksight
Dagster
Dbt
Fivetran
Glue)
Iam
Lambda
Looker
Prefect
Python
Redshift Serverless
Rudderstack
SQL
Tableau
Swan Bitcoin Calabasas, California, USA Office
Calabasas, California, United States, 91302
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