Data Engineer - Assistant Vice President
About The Position
iCapital is seeking a Data Engineer to scale the data foundations that support its business. The role designs, builds, and optimizes data pipelines and infrastructure so data can serve as a strategic asset throughout the organization. It collaborates with Product, Engineering, Analytics, and business stakeholders to understand changing needs and deliver scalable, maintainable, high-quality solutions. The Data Engineer moves and transforms data, develops an understanding of its business context, and helps teams act on insights. The role supports reliable, well-structured data for decision-making, client experiences, and iCapital’s growing product suite.
Requirements
- 6–10 years of professional experience in data engineering or data-driven software engineering.
- Exceptional Python and SQL skills.
- Extensive experience with orchestration frameworks such as Prefect, Airflow, or Dagster.
- Deep understanding of OLAP databases such as Snowflake and Databricks, OLTP databases such as PostgreSQL and MongoDB, and ELT frameworks such as dbt and dlthub.
- Experience developing and deploying code to cloud environments such as AWS, GCP, or Azure.
- Strong grasp of object-oriented and functional programming, with the ability to write scalable, high-quality code.
- Experience leveraging stream-processing frameworks such as Kafka, Flink, or Spark.
- Knowledge of infrastructure-as-code frameworks such as Terraform or CloudFormation.
- Detail-oriented, able to multitask, and comfortable working in a fast-paced environment.
- Ability to work independently and as a strong team player.
- Excellent written and verbal communication skills.
- Passion for learning and mastering cutting-edge technologies.
Nice To Haves
- Professional experience with JVM-based languages such as Scala, Java, or Kotlin.
- Knowledge of financial markets and financial instruments.
Responsibilities
- Develop and automate large-scale, high-performance data platform pipelines and infrastructure to support business growth and data-driven decision-making.
- Design and develop reusable components and frameworks for data ingestion, cleansing, and quality.
- Streamline ingestion of raw data from various sources into the Data Lake and Data Warehouse.
- Design data models for optimal storage and retrieval that represent business domains across iCapital’s ecosystem.
- Coordinate daily with Operations, Sales, and Product Development teams to advance iCapital’s FinTech strategy and improve business profitability.
Benefits
- Compensation package includes salary, equity for all full-time employees, and an annual performance bonus.
- Employer-matched retirement plan.
- Subsidized healthcare, including 100% employer-paid dental, vision, telemedicine, and virtual mental health counseling.
- Parental leave.
- Unlimited paid time off (PTO).
- Hybrid schedule: in-office Monday through Thursday, with flexibility to work remotely on Friday.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
