Base: $90,000 - $150,000 py; bonus/equity: not spe...
Scala spark development
Databricks
Snowflake data platform
The application processes very large datasets, with business logic implemented using Scala/Spark workloads on Databricks and Snowflake as the core data platform
Job Summary
The application processes very large datasets, with business logic implemented using Scala/Spark workloads on Databricks and Snowflake as the core data platform.
The selected candidate will work closely with senior engineers to develop data pipelines, implement controls, and support testing and operational activities.
Hands-on learning with modern tech stack: Scala, Spark, Databricks, Snowflake; Opportunity to work on large-scale, high-impact regulatory reporting systems.
Matching Summary
The application processes very large datasets, with business logic implemented using Scala/Spark workloads on Databricks and Snowflake as the core data platform.
Salary
Base: $90,000 - $150,000 per year; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Scala Spark development
Databricks
Snowflake data platform
Python for automation
SQL database concepts
SDLC and Agile methodology
Nice-to-have
Trade Lifecycle concepts
Equities and Options asset classes
Unix/Linux shell scripting
Generative AI use cases
Key Requirements
Bachelor’s degree in Computer Science, Engineering, MIS, or related field
3+ years of experience in software development or data engineering
Strong foundational knowledge of Scala
Familiarity with Apache Spark
Understanding of cloud data platforms
Database knowledge and core concepts
Ability to understand and debug Spark applications