Senior Data Engineer

CAIS is a fintech firm on a mission to build the first truly open marketplace for alternative investments, where financial advisors and asset managers can engage and transact directly on a massive scale. We are a rapidly growing, high-energy, and collaborative group looking for people with great attitudes, grit, and creative problem-solving skills. Join us in disrupting a multi-trillion-dollar industry.

We are seeking a Senior Data Engineer to join our growing Technology team. This position will report directly to our Head of Data, and will be responsible for developing, automating, and maintaining a robust and secure, high performance data platform infrastructure that drives CAIS business growth. As a Senior Data Engineer, this role will mentor a growing team of data engineers and collaborate with cross-functional team members to design systems that optimize the data models that feed business intelligence tools, increase data accessibility, and foster data-driven decision making across the firm. The ideal candidate is a player-coach at heart, with a proven ability to solve open-ended problems in an elegant, scalable manner. They possess the creativity, flexibility, and the drive to consistently deliver on mission critical projects. This is a great opportunity to have a hand in shaping our data infrastructure, demonstrate data engineering prowess with greenfield work, mentor data engineers, and enjoy growing with our firm along the way.

Essential Experience

• 7+ years of data engineering experience
• Experience bridging the gap between data engineering, analytics, and data science
• Proven track record of building consensus with cross-functional tech leads

Essential Skills

• AWS
• Python
• SQL
• REST API Development
• Pipeline Orchestration – Airflow
• Data Tooling (combination of Hive, Presto, Spark)
• Kubernetes
• Distributed Computing
• Data Warehouse Design
• DBT
• IaC (Terraform)

Desired Experience

• Engineering, Mathematics, or other technical degree from an accredited University preferred
• Experience working in financial services, and/or knowledge of financial markets and financial instruments is ideal
• Mentorship experience
• Data Tooling
• Distributed computing

Desired Skills

• Athena
• Snowflake
• MLFlow
• Data Science
• JVM Stack (Java, Scala, or Kotlin)
• SBT