Our industry recognition includes
21x Google Cloud Partner of the Year awards in the last 8 years.
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
2x Snowflake Partner of the Year awards.
Top analyst recognitions from Gartner, ISG, and Everest Group.
Consecutive certifications as a Great Place to Work.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.
Your next big opportunity starts here!
Work Location: USA - Remote
Experience Level: 8+ years
Type: Full time
Role
We are seeking an experienced Senior Data Engineer with 8+ years of expertise to design, build, and optimize high-performance data infrastructure supporting Asset-Backed Finance (ABF) investment and portfolio analytics. In this role, you will lead the modern data platform initiatives, building robust ETL/ELT architecture in Snowflake, orchestrating complex workflows with Dagster, and leveraging modern AWS cloud services. You will also support critical migration efforts from legacy systems and contribute light project management oversight to ensure smooth, cross-functional execution.
Responsibilities
Design, build, and maintain cloud-native data pipelines and datalake architectures (Snowflake) to support ABF investment and portfolio analytics
Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate data from structured and unstructured sources
Support analytics and reporting use cases, including data reconciliation, validation, and financial data integrity checks
Support the migration from legacy systems to a modern data platform, including data mapping, transformation logic, and architecture alignment
Contribute to light project management activities, including
Breaking down work into Epics/User Stories (Jira)
Supporting project planning, timelines, and coordination across teams
Assisting with testing, cutover planning, and go-live readiness
Skills Required
8+ years of progressive experience in data engineering, data platform development, or enterprise analytics.
Proven track record building enterprise data models and warehouse architectures within financial services, investment management, or ABF/portfolio analytics domain contexts.
Data Warehousing: Advanced proficiency in Snowflake (SQL performance tuning, architecture, security, and schema design).
Orchestration: Hands-on expertise using Dagster for workflow orchestration, dependency management, and monitoring.
Cloud Infrastructure: Deep familiarity with core AWS services (e.g., S3, Glue, Lambda, IAM, ECS, EMR, or Redshift).
Data Pipelines & Languages: Expert-level mastery of Python and advanced SQL for complex data transformation and ELT design.
Tooling & PM: Proficient with Jira for backlog management and Agile sprint planning.
What is in it for you
Be part of the fastest-growing AI-first digital transformation and engineering company in the world
Be a part of an energetic team of highly dynamic and talented individuals
Exposure to working with fortune 500 companies and innovative market disruptors
Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
