Senior Software Engineer - AI-Driven Data Platform (Hybrid)

Spins Llc

Chicago (IL)

Hybrid

USD 160,000 - 175,000

Full time

2 days ago
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Job summary

SPINS, based in Chicago, seeks a Sr. Software Engineer to design, build, and enhance the data platform that ingests, processes, and delivers data to customers.

This full-stack role covers ingestion, ETL, big data, APIs, and web/mobile apps with AI-assisted workflows and a collaborative culture. You will write clean code, refactor when needed, and develop client-facing/internal tools integrated with AI models to improve user experiences while handling large data volumes and automating repetitive

Qualifications

  • BA/BS in CS or related field (or work equivalent).
  • Knowledge of Java, Python, React, Node.js, REST/GraphQL APIs, databases, GCP/AWS, Kubernetes, CI/CD, and AI tools.
  • Experience with the CPG industry is a plus.
  • Has experience with or passion for test-driven development, simple automated deployment, and pair programming.
  • Ability to communicate with Product and Design about features and technology within your domain.

Responsibilities

  • Write clean, testable, and readable code
  • Fail fast and use code refactoring in everyday practices
  • Handle both routine and complex technical and data challenges; Build client-facing/internal tools integrated with AI models for an enhanced user experience
  • Efficiently ingest, normalize, and transform large amounts of data
  • Automate routine and repeated processes wherever possible

Skills

Java
Python
React
Node.js
RESTful APIs
GraphQL APIs
Relational databases
NoSQL databases
Graph databases
GCP
AWS
Kubernetes
CI/CD
AI integration tools

Education

BA/BS in Computer Science or related field

Tools

GCP
AWS
Kubernetes
CI/CD

Job description

SPINS, based in Chicago, seeks a Sr. Software Engineer to design, build, and enhance the data platform that ingests, processes, and delivers data to customers.

This full-stack role covers ingestion, ETL, big data, APIs, and web/mobile apps with AI-assisted workflows and a collaborative culture. You will write clean code, refactor when needed, and develop client-facing/internal tools integrated with AI models to improve user experiences while handling large data volumes and automating repetitive

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