Senior Data Engineer (Remote) - AI-Powered Fintech Platform

Allocate; United States; Remote; USD 145,000 - 220,000; Full time

Benefits offered by this job

Medical, dental, and vision

401(k)

Vacation PTO

Travel for offsites

Fully remote

Job summary

Allocate is seeking a Senior Data Engineer to expand our AWS data lakehouse, knowledge graph, and vector store integrations that power analytics and AI features. You’ll partner with the data lead to model core financial entities, ingest data from internal and external sources, and build scalable pipelines for real-time insights.

In a fully remote team, you’ll collaborate with backend and frontend engineers (C#/.NET, Node/Vue) and strive for reliability, tested code, and data quality as we push a

Qualifications

• 5+ years of hands-on data engineering experience with large-scale data pipelines and storage solutions.

Responsibilities

• Build and extend Allocate’s data lakehouse on AWS with data+warehouse tech.
• Develop robust ETL/ELT pipelines for internal/external data sources.
• Enable AI/ML features via feature stores and vector databases.
• Collaborate with data lead and engineers to deliver data/AI infra and scale.
• Containerize and orchestrate data tools; implement CI/CD for data workflows.
• Stay current with AWS offerings and data tooling trends.

Skills

Data pipelines

AWS

SQL

Python

Node.js

AI/ML

Docker

Kubernetes

Education

Bachelor's degree in CS

Tools

Snowflake

Databricks Delta Lake

Neo4j

pgvector

Chroma

Pinecone

LangChain

LlamaIndex

Airflow

dbt

Prefect

Docker

Kubernetes

AWS EKS

Job description

Allocate is seeking a Senior Data Engineer to expand our AWS data lakehouse, knowledge graph, and vector store integrations that power analytics and AI features. You’ll partner with the data lead to model core financial entities, ingest data from internal and external sources, and build scalable pipelines for real-time insights.

In a fully remote team, you’ll collaborate with backend and frontend engineers (C#/.NET, Node/Vue) and strive for reliability, tested code, and data quality as we push a