Founded in 2012, IXIS is rooted in innovative processes for data-driven customer experience and strategic planning. Our mission is to integrate and synchronize disparate data systems necessary to recalibrate and connect brands across converging media.

This is a full-time position with the option to work remotely or in a hybrid capacity. We offer a competitive compensation package that includes health, dental, vision, short-term and long-term disability insurance, a 401(k) plan with company match, flexible work schedules, a wellness program, and exceptional opportunities for professional growth.

Overview

IXIS is seeking an energetic individual with experience building cloud-first software in AWS to join our team in developing cutting-edge, custom analytics and data socialization solutions. In this role, you will collaborate with other engineers and data scientists to build our data socialization and visualization applications, use serverless architecture to ingest, transform and store data in our data warehouse, and follow best practices around CI/CD and test-driven development.

Responsibilities

Design and develop application logic, GraphQL APIs, and storage to support the application features
Build enterprise-grade batch and real-time data processing pipelines leveraging the AWS cloud platform, with an emphasis on serverless architectures
Incorporate proprietary schemas and models to help transform, analyze, and visualize customer data
Work with the Data Science and Development teams to design, implement, and facilitate data ingest, extraction, and integration across multiple programming languages (primarily R, Python, and node.js) directly and via REST and GraphQL APIs
Collaborate with technical, data science, QA, and operational resources
Design and implement automated acceptance and reliability tests based on business requirements and company standards
Learn about and share: new ideas, methodologies, techniques, and technology through mentoring, pair programming, and code reviews
Design robust, appropriately normalized schemas for warehousing a wide variety of datasets and determine when SQL vs. NoSQL solutions are preferred
Design and manage the AWS serverless infrastructure to ensure scalability, performance and security

Required Education And Skills

A./B.S. in Computer Science, Software Engineering, or related area; formal training in statistics/mathematics/machine learning a plus
5+ years of professional experience building resilient, scalable, and performant REST and/or GraphQL APIS in an AWS serverless architecture
3+ years of Python development experience
3-5 years of real-world experience with SQL and NoSQL
Advanced relational database design skills
Experience building CI/CD pipelines
Experience with data streaming using tools like AWS Kinesis or Kafka
Core critical thinking skills, including good data intuition

Additional Desired Skills

Experience with statistical programming, ideally in R or Python
Development experience in a Linux or Mac environment
Experience with React, Angular, HTML or other web development tools
Experience with integrating Business Intelligence/Data Visualization tools (Tableau, PowerBI, etc.)