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Data Engineer

💼 Full-time🗓 2026-07-30

Core

Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store data for on-chain prime brokerage and crypto-native institutions.

Role type

Data and Analytics Engineer

Builds

Scalable data pipelines, ETL processes, PostgreSQL databases, and data warehousing solutions (BigQuery, AWS Redshift)

Domain

On-chain finance / Crypto-native institutions

Deliverable

production ML models | product features | dashboards & analysis

Required skills

SQL, Python, PostgreSQL, cloud data platforms (Google BigQuery, AWS Redshift), data visualization tools (Tableau, Looker)

Preferred skills

Experience with cloud data platforms

Technologies

PostgreSQL, Google BigQuery, AWS Redshift, Tableau, Looker

Responsibilities

Design and maintain scalable data pipelines and ETL processes; Manage and optimize PostgreSQL databases; Analyze user behavior and trading volume metrics; Create and maintain dashboards and reports; Ensure data accuracy, consistency, and security; Partner with cross-functional teams to understand data needs

Seniority

Mid-level, hands-on IC

Rewrite
## About the role August is building universal wallet infrastructure. Our first vertical is on-chain prime brokerage targeted at crypto-native institutions to enable an order of magnitude better capital efficiency. We have raised a 16m between Seed and Series A from leading crypto and fintech investors. Our product is live with over $250m TVL and $12bn volume processed in Q1'2025. We are seeking a skilled Data and Analytics Engineer to join our team and help us leverage data to drive strategic decisions. This role involves managing our data infrastructure, extracting meaningful insights, and supporting various teams with actionable data analysis. ## Key Responsibilities - Data Infrastructure Management: Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store data from various sources. - Database Management: Manage and optimize our PostgreSQL databases and integrate them with BigQuery or other data warehousing solutions. - Data Analysis and Insights: Work closely with the Growth and Product teams to analyze user behavior, trading volume, and other key metrics to drive business decisions. - Data Visualization: Create and maintain dashboards and reports that provide actionable insights to stakeholders. - Data Quality and Governance: Ensure data accuracy, consistency, and security across all data sources and systems. - Collaboration: Partner with cross-functional teams to understand data needs and provide timely insights. ## Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - Proven experience in data engineering, data analysis, or a similar role. - Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Looker). - Experience with cloud data platforms (e.g., Google BigQuery, AWS Redshift) is a plus. - Strong problem-solving skills and the ability to communicate complex data insights to non-technical stakeholders. If you are passionate about on-chain finance and want to work with an elite team of engineers and operators to build the next generation of digital asset infrastructure, we encourage you to apply for this exciting opportunity at August.
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