Data Engineer - Vice President

About the Role

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. 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.

Responsibilities

• 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.

Qualifications

• 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

Benefits

The base salary range for this role is $160,000 to $200,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.