Salesforce Data Engineer - Assistant Vice President

New York City, United States

Data Engineer – Assistant Vice President  

Department: Data and Analytics  

Location(s):  

 

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services approximately $179 billion in global client assets invested in 1,445 funds, as of January 2024. 

 

iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2023); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a three-time winner of MMI/Barron’s Solutions Provider award (See link below).  

 

About the Role 

iCapital is looking for an Assistant Vice President Data Engineer to join our Data and Analytics team. This role will 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 an Engineer that will be able to use the data and understand it to help make actionable decisions. The ideal candidate can quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built highly performant and scalable infrastructure to warehouse the data.  

Responsibilities 

  • Leverage open-source technologies and cloud solutions to build elegant features that iCapital platform users love. 
  • 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. 
  • Design and develop in Salesforce and Apex to automate processes and meet a variety of business needs. 
  • 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 
  • 1-4 years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, and high-quality code 
  • Experience in at least one 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) 
  • Experience with Salesforce development, Apex, and working with Apex classes, batching, bulk processing, triggers, events and event buses, and writing test classes 
  • Experience using probability/statistics 
  • Detail-oriented, able 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 skills 
  • Passionate about programming and cutting-edge technologies 
  • Master’s 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 
  • Experience with Salesforce and Apex development in processing large data sets 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 $120000 to $140000.  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. We offer most employees the flexibility to work in the office three or four days.  Every department has different needs, and some positions will be designated in-office jobs, based on their function.  

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ 

 

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. 

Apply now Apply later
  • Share this job via
  • or

Tags: AWS Computer Science Data quality Data warehouse FinTech Java Kinesis Lambda Mathematics Matlab MongoDB NoSQL Octave OLAP Open Source Pandas Pipelines PostgreSQL Python R Redshift Research Salesforce Scala Snowflake Statistics Terraform Testing

Perks/benefits: Equity Health care Parental leave Salary bonus Startup environment Team events Unlimited paid time off

Region: North America
Country: United States
Job stats:  2  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.