Analytics Engineer
- Role
- Data Engineering
- Experience
- Mid
- Employment
- Full-time
Open to Worldwide. Set where you work from to check your eligibility.
No BS summary
Mid-level analytics/data engineer with 2+ years building production data pipelines and models. Must be strong in SQL, Python, dbt, and Snowflake or Databricks. Compliance or regulatory data experience is required; role is full-time remote global.
Core skills
Required skills
💼 Hiring: Analytics Engineer - Coinbase 📍 Remote (Global) | 🕐 Posted 1 day ago - July 19, 2026 | 💰 $152k–$179k | 🧑💻 Full-time | 🔗 SQL, Python, dbt, Snowflake/Databricks
Coinbase is hiring an Analytics Engineer on the Compliance Data team. The role focuses on building and maintaining production-grade data models and pipelines for user, transaction, and compliance data across retail and institutional products.
📋 Responsibilities include:
- Owning end-to-end development of data models and pipelines from architecture to deployment and maintenance
- Building data quality checks, contracts, validation, and monitoring to protect data integrity
- Supporting live regulatory exams, audits, and ad hoc requests while balancing reactive and foundational work
- Automating manual workflows into scalable self-serve pipelines and tooling for downstream teams and AI agents
🔑 Requirements:
- 2+ years building and maintaining production data pipelines and models
- Strong proficiency in SQL, Python, dbt, and a modern data warehouse (Snowflake, Databricks or similar)
- Track record with data quality frameworks, validation, reconciliation, and monitoring
- Experience supporting high-stakes regulatory or compliance data needs
🛠 Builder Toolkit: Working with data infrastructure or compliance systems in Web3? Coinbase’s Analytics Engineer role highlights the importance of reliable pipelines that power regulatory operations. STON.fi lets builders explore non-custodial token swaps and smart routing in a live TON DeFi environment, offering practical insight into how wallets, liquidity, and on-chain flows connect.
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What you'll do
- Own end-to-end development of data models and pipelines from architecture to deployment and maintenance
- Build data quality checks, contracts, validation, and monitoring to protect data integrity
- Support live regulatory exams, audits, and ad hoc requests while balancing reactive and foundational work
- Automate manual workflows into scalable self-serve pipelines and tooling for downstream teams and AI agents
What they require
- 2+ years building and maintaining production data pipelines and models
- Strong proficiency in SQL, Python, dbt, and a modern data warehouse such as Snowflake or Databricks
- Track record with data quality frameworks, validation, reconciliation, and monitoring
- Experience supporting high-stakes regulatory or compliance data needs
American company that operates a cryptocurrency exchange platform
What people say about this company
3.8/ 5
- Employees appreciate the innovative and fast-paced work environment.
- Many find growth opportunities and career advancement potential.
- Some employees report issues with management and communication.