Data Platform Engineer
1 week ago
Figure Markets is democratizing finance through blockchain. We're building the exchange for everything - a decentralized custody marketplace for crypto, stocks, bonds, credit and more. We're bringing best in class leverage, margining and liquidity to our exchange, while offering our members extensive borrowing options and unique investment opportunities.
Figure Markets is built on the Provenance Blockchain, and we use its native token, Hash, on the exchange. Provenance Blockchain embodies truth over trust and provides a foundation for Figure Markets to bring transparency and efficiency in a decentralized world.
Figure Markets is backed by leading venture capital firms and strategic partners, including Jump Crypto, Pantera, Distributed Global, Faction Lightspeed, NewForm Capital and CMT Digital. Figure Markets was founded by a seasoned team of entrepreneurs and operators from tradfi, fintech and defi, including Mike Cagney and June Ou.
About the Role
We're looking for an experienced and independent data platform engineer to design and build our data architecture. As part of our Engineering team, you'll work closely with various business functions to understand Figure Markets' analytic, data science, and reporting needs and to develop data products that address those needs. You will be contributing to data engineering's vision and development from day one, and, as an early member of the team, you'll get to shape the data architecture that will drive a fast-growing business.
What You'll Do
- Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines.
- Expand and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.
- Collaborate with project leads and other software engineers across multiple teams.
- Be a leader, use your voice, and apply your tech skills to solve real world problems.
- BS degree in Computer Science or related technical field, or equivalent practical experience.
- 6+ years of proven working experience as a data engineer
- 5+ years writing production-quality Python.
- 3+ years' experience with Spark, either in Python or in Scala. Bonus points for Spark on EMR, Dataproc, or Kubernetes.
- Working knowledge of Google Cloud tools (compute, cloud storage, GKE, GCR, AutoML, etc.)
- Expertise building and optimizing data pipelines using Kafka (preferred), Kinesis, or other event bus.
- Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
- Comfort with and experience working within CI/CD processes and tools and software development practices.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL and NoSQL databases, including BigQuery (preferable), MySQL/MariaDB, Postgres or Cassandra.
- Expertise in data modeling for data science, reporting, and analytics, including dimensional and transactional models.
- Ability to thrive in a fast-paced growing company.
- Competitive salary and growth opportunities
- Company quarterly performance based bonus
- Equity stock options package
- Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
- Employer funded life and disability insurance coverage
- Company HSA, FSA, Dependent Care, 401k, and commuter benefits
- Up to 12 weeks paid family leave
- In office, remote, and hybrid work location options
- Home office and technology stipend for those working outside of a traditional office more than 75% of the time
- Flexible time-off plan to empower employees to take the time off that they want and need
- Continuing education reimbursement
- Routine Team swag deliveries
For CO, NY, CA and WA residents, the salary range for this position is $102,960 to $128,700/year with a 25% Bonus Target and Equity. Actual compensation may vary based on individual candidate experience and location.
Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
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