Cloud Data Specialist

3 days ago


New York, New York, United States Figure Markets Full time
About Our Company

Figure Markets is a pioneering financial services company leveraging blockchain technology to democratize finance. We're committed to creating a transparent, efficient, and secure financial ecosystem. To achieve this, we're building a cutting-edge platform that offers unparalleled benefits to our users.

We're seeking a seasoned data platform engineer to join our team and contribute to shaping the future of our data architecture. As a key member of our Engineering team, you'll collaborate with various stakeholders to identify and develop solutions to complex business challenges. Your expertise in designing and building scalable data architectures will play a pivotal role in shaping the direction of our company.

The Position

This is a unique opportunity to work at the forefront of innovation, driving growth and progress in a rapidly evolving industry. As a data platform engineer, you'll be responsible for designing and implementing efficient data pipelines, developing and maintaining our data architecture, and collaborating with project leads to ensure alignment with business objectives. Your technical expertise will be instrumental in driving business outcomes and solving real-world problems.

Responsibilities
  • Design and implement efficient data pipelines using Spark, Airflow, Apache Beam, and other relevant tools.
  • Develop and maintain our data architecture, ensuring seamless integration with cross-functional teams.
  • Collaborate with project leads to ensure alignment with business objectives.
  • Apply your technical expertise to drive business outcomes and solve real-world problems.
Requirements
  • Bachelor's degree in Computer Science or related field, or equivalent practical experience.
  • 6+ years of proven experience as a data engineer.
  • 5+ years writing production-quality Python.
  • 3+ years' experience with Spark, either in Python or in Scala.
  • Working knowledge of Google Cloud tools.
  • Expertise in building and optimizing data pipelines using Kafka, Kinesis, or other event bus.
  • Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
  • Comfort with CI/CD processes and tools.
  • Advanced working SQL knowledge and experience with relational databases and SQL.
  • Expertise in data modeling for data science, reporting, and analytics.
  • Ability to thrive in a fast-paced environment.
What We Offer
  • Competitive salary: $102,960 - $128,700/year
  • Quarterly performance-based bonus
  • Equity stock options package
  • Comprehensive health, vision, dental insurance, and wellness program
  • Life and disability insurance coverage
  • HSA, FSA, Dependent Care, 401k, and commuter benefits
  • Up to 12 weeks paid family leave
  • Work-life balance options
  • Continuing education reimbursement


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