Data Engineer

We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: delivering trust in digital assets.

Responsibilities:

• Design, build, and maintain scalable, reliable data pipelines that collect, transform, and curate data from internal systems.
• Build automated reconciliation, monitoring, and alerting systems.
• Enhance and expand BitGo's blockchain reporting infrastructure.
• Integrate select external data sources to enrich the data platform.
• Ensure high data quality and auditability across all pipelines.
• Optimize data systems for near real-time processing and insights.

Requirements:

• An engineering degree in Computer Science or equivalent.
• 5+ years of work experience in a relevant field (Data Engineer, Software Engineer).
• Strong experience with server-side languages (Python).
• Strong experience with SQL databases like Postgres or MySQL.
• Experience building data pipelines/ETL and familiarity with design principles.
• Experience with data warehouse technologies and data modeling best practices (Snowflake, BigQuery, Spark, etc).
• Strong experience with systems design and event-driven systems (Kafka).
• A self-starter capable of adapting quickly and being decisive.
• A willingness to be at the forefront of designing for quality and attainable results.
• Experience with unit and functional testing and debugging.
• Experience in Git/GitHub and branching methodologies, code review tools, CI tools, JIRA, Confluence, etc.
• Ability to work independently in a fast-paced environment.
• High integrity and accountability.
• Comfortable with inclusion in on-call rotations for system support.
• Effective written and verbal communication skills.

Preferred:

• Experience in Financial Services and/or Financial Technology.
• Understanding and a strong interest in cryptocurrencies and the blockchain industry.
• Experience with large-scale, real-time, and distributed applications.
• Experience with data governance, handling PII, and data masking.