Analytics Engineer - Data Operations & Governance (Remote)

About the Role

We are seeking a talented Analytics Engineer - Data Operations & Governance to join our dynamic team at Crypto.com. This remote position offers you the opportunity to own the accuracy, reliability, and structure of product and user-event data through robust governance practices. You will play a crucial role in defining and enforcing standards for event tracking, data schemas, and documentation across teams.

What You'll Do

• Own the accuracy, reliability, and structure of product and user-event data through robust governance practices.
• Define and enforce standards for event tracking, data schemas, and documentation across teams.
• Conduct regular audits, validation checks, and coordinate instrumentation changes with engineering and product teams.
• Build and maintain scalable, observable data pipelines using tools like dbt, Airflow, or similar frameworks.
• Monitor pipeline health, implement alerting systems, and resolve data issues with root cause analysis.
• Optimize pipeline performance and ensure high availability of core datasets for analytics and reporting.
• Develop and maintain internal data tools, utilities, and dashboards using SQL, Python, and lightweight web technologies.
• Automate workflows to reduce manual reporting and improve operational efficiency for data stakeholders.
• Create reusable data models that support fast iteration and confident self-service analysis.
• Operate and enhance data scraping workflows to collect structured information on competitors, pricing, and market trends.

Requirements

• Strong SQL and working proficiency in Python or JavaScript for building and maintaining data infrastructure.
• Experience with modern data engineering tools (e.g., dbt, Airflow, Fivetran, Dagster).
• Familiarity with version control (Git), code modularization, and documentation practices.
• Track record designing or maintaining data governance practices in product analytics environments (e.g., Segment, GA4, Mixpanel).
• Comfortable building QA checks, anomaly detection, and data validation processes.
• Strong written and verbal communication skills to align with product, engineering, and business teams.

Nice to Have

• Prior experience or knowledge in data science or machine learning.
• Understanding of data operation and governance in analytics workflows.
• Experience supporting data for experimentation or A/B testing pipelines.

What We Offer

• Competitive salary ranging from $20,000 to $80,000 per year.
• Fully remote work environment with flexible hours.
• Opportunities for professional growth and development.
• Access to cutting-edge technologies and tools.
• Collaborative and innovative team culture.