Data Engineer, Vice President, iCapital

• The ideal candidate should be able to quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built highly-performant and highly scalable infrastructure to warehouse the data
• If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on
• Bachelor’s degree in computer science, Data Science, Mathematics, Statistics or other quantitative area or related field
• 8+ years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, high-quality code
• Experienced in at least 1 numeric research framework (python/pandas, R/Splus, Octave/Matlab)
• Familiar with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases
• Familiar with various database designs (Relational, Columnar, NoSQL)
• Some background in probability/statistics
• Detail-oriented, ability to multitask and work in a fast-paced environment
• Able to work independently while also being a strong team player
• Excellent written and verbal communication
• Passionate about programming and cutting-edge technologies
• Master’s degree in computer science, Data Science or related field is preferred
• Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin is preferred
• Experience building data pipelines, data-lakes and data warehouses is preferred
• Good knowledge of financial markets and financial instruments is preferred
• Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache is preferred
• Familiar with AWS and infrastructure-as-code (terraform or cloud formation) is preferred
• Familiar with the use and restrictions of PII data for analysis, research, development, and testing is preferred
• Full-time or internship experience as a data engineer in the financial technology industry is a plus

• We are looking for an outstanding Data Engineer to join the Data and Analytics team to help build the infrastructure to make data a central part of iCapital
• Data driven decisions are very critical for iCapital, as a result, we are looking for engineers that will not only be able to use the data but also understand it and help make actionable decisions
• Leverage open-source technologies and cloud solutions to build elegant features
• Develop and automate large scale, high-performance data platform infrastructure to drive iCapital business growth and enable data-driven organization
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse
• Design data models for optimal storage and retrieval that represent the product entities and meet business requirements
• Coordinate closely with sales and product development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of our business

Total funding: $680.6m

Alternative investing can yield huge profits, but it can often be inaccessible, even to enterprises. iCapital solves this problem by guiding large-scale businesses through the alternative investing process.