Data Engineer jobs in United States
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Bitcoin · 2 months ago

Data Engineer

Swan is the USA’s #1 Bitcoin wealth platform for families and businesses, seeking a Data Engineer to join their fully distributed startup team. In this role, you will design, build, and scale the core data infrastructure, enabling data-driven decision-making across various teams while ensuring data integrity and governance.

Angel InvestmentFinanceFinancial Services

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

Qualification

Data EngineeringRedshift ServerlessSQLPythonDbtAWS servicesETL platformsData governanceBI toolsSoft skills

Required

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
US timezones only

Preferred

Experience working with data from major ad platforms (e.g., Google Ads, Meta Ads) and marketing automation tools
Familiarity with BI tools like AWS QuickSight, Tableau, or Looker
Experience with data governance and security in a regulated industry like FinTech

Benefits

Base salary
Equity
Benefits

Company

Bitcoin

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Funding

Current Stage
Growth Stage

Leadership Team

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Scott Gasser
CEO
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Smith James M
Chief Executive Officer
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Company data provided by crunchbase