Data Engineer - Vice President

iCapital; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

iCapital is seeking an outstanding Data Engineer to join the Data and Analytics team in New York. You will help build infrastructure to make data central to the business, enabling data-driven decisions with highly scalable data warehouses and data lakes.

The ideal candidate has 8+ years in open-source tech and programming, with experience in Python, JVM languages, AWS, and data pipeline design. This role requires collaboration with sales and product teams and a strong analytical mindset.

Qualifications

• 8+ years of experience with open-source technologies or object-oriented/functional programming.
• Strong ability to write easy-to-scale, high-quality code.
• Experience with Python/pandas, R/Splus, Octave/Matlab.
• Familiar with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases.
• Familiar with Relational, Columnar and NoSQL database designs.
• Some background in probability/statistics.
• Detail-oriented, multitasker in a fast-paced environment.
• Independent worker and strong team contributor.
• Excellent written and verbal communication.
• Passionate about programming and cutting-edge technologies.
• Professional experience with Python and JVM languages (Scala/Java/Kotlin).
• Experience building data pipelines, data-lakes and data warehouses.
• Good knowledge of financial markets and instruments.
• Experience with AWS (Lambda, S3, Kinesis, ElastiCache).
• Familiar with infrastructure-as-code (Terraform or CloudFormation).
• Familiar with handling PII data for analysis.

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.
• 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 profitability.

Skills

Python

Scala

Java

Kotlin

Data pipelines

Data lakes

Data warehouses

AWS

Terraform

CloudFormation

PII data handling

Open-source technologies

Team player

Communication

Education

Bachelor's degree in CS/DS/Math/Statistics

Master's degree preferred

Tools

PostgreSQL

MongoDB

Redshift

Snowflake

ETL

Job description

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.

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