Responsibilities

• Develop RESTful web services to support both internal and external clients

• Write reliable, maintainable, well-documented code that will scale to support millions of respondents

• Execute the full software development life cycle as part of an Agile team

• Collaborate with Product Managers to refine and modify requirements

• Following established design paradigms and design patterns

• Strong unit testing and integration testing practices

• Participate in the on-call rotation to monitor shipped features for success and issues

• Support the business teams and product managers in data extracts and data analysis

• Demonstrate proficiency in developing software for the user interface, business logic, data modeling and systems, and component integration

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Create and maintain optimal data pipeline architecture

 

Qualifications

• Bachelor's or Master's degree in Computer Science

• Competency in data structures, algorithms, and software design

• Experience with high volume and high-performance web applications

• Highly proficient SQL and Database skills

• Ability to rapidly debug and solve problems in unfamiliar areas

• Experience in working in an agile environment with rapidly changing requirements and tight deadlines

• Strong verbal and written communication skills

 

Preferred Qualifications

• 5+ years of hands-on software development experience in Python, Go/Golang, Node.js, or other modern web technologies

• Working knowledge of JavaScript, JSON, and other associated technologies

• Working knowledge of Git, GitHub, and version control best practices

• Familiarity with containerization technologies like Docker and Kubernetes

• Experience with Amazon Web Services specifically, or any cloud host

• Experience with microservice architecture and platforms and building RESTful APIs

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and CDC processes

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

• Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with data tools: Spark, Kinesis, etc.

• Experience with relational SQL and NoSQL databases, including Postgres, MSSQL, Redis, 

• Experience with data pipeline and workflow management tools: Airflow, AWS Glue, Step functions, etc.

• Experience with AWS cloud services: EC2, EMR, RDS, Redshift