Full Stack Engineer

Mindlance
United States
3 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Agile Methodology Amazon Web Services Amazon S3 Data Analysis HTML5 Automation of Tests Unit Testing Cascading Style Sheets (CSS) Continuous Integration Extract Transform Load (ETL) Data Systems
+26 more
DevOps Dynamic HTML ECMAScript Design of User Interfaces Python (Programming Language) Node.Js Software Deployment Software Systems SQL Databases TypeScript AWS Cdk Freeform SQL ReactJS AWS Lambda Backend Cloudformation Event Driven Architecture Information Technology Data Management Front End Software Development Restful APIs Amazon Simple Queue Service (SQS) Data Pipelines Api Management Serverless Computing Microservices

Job description

As a Senior Full Stack Engineer, candidate will be responsible for building and maintaining robust data pipelines and ETL processes that power analytics and reporting across Client programs. Candidate will also develop and optimize complex SQL queries to support large-scale educational data analysis and take responsibility for creating design specifications, unit testing, and preparing technical documentation. Candidate will ensure relationships with product, research, and program teams are professional and meet expectations. The Client a not-for-profit membership organization dedicated to providing excellence and equity in education manages a complex and comprehensive suite of data systems, data feeds and reports to support students and educators across multiple assessments, programs and services. Working within the Information Technology division and across the operations and key business units, the Senior Full Stack Engineer will analyze procedures, and design and implement solutions to attain high data quality and process automation. The Senior Full Stack Engineer will design, develop and implement solutions, based on a set of standards and processes which establish consistency across the enterprise data, reduce risk, and promote efficiencies in support of the organization s goals and objectives. The ideal candidate will have designed, developed and implemented serverless software solutions in support of data quality and automation. The candidate will also possess technical skills and experience in the data management domain that will help their ability to design and develop elegant and efficient data processes and systems. Team

Requirements

This team is working on internal Client user-facing products/programs mainly used by Client data scientists and research for modeling and analysis. The team operates within a continues delivery approach focusing on continuous learning, stakeholder partnership and continuous improvement. The hiring manager is looking for highly motivated engineers with solid communication skills that can operate with minimal guidance. Someone that can hit the ground running and is comfortable engaging with their teams remotely. Profile:

Must have strong Python, TypeScript and JavaScript (ES6) along with React development expertise. This role is for a full-stack engineer with solid backend experience using Node.js and AWS serverless technologies. Candidates should be comfortable building both frontend applications and scalable backend services., AWS - Dynamo

AWS - Lambda

AWS - S3

Python

AWS - SNS/SQS

JavaScript (ES6)

TypeScript

Node.JS

React.JS

SQL

UI Development (HTML5, CSS3, DHTML)

Must Have Skills:

  • AWS Dynamo
  • AWS Lambda
  • AWS S3
  • AWS - SNS/SQS
  • JavaScript (ES6)
  • Node.js
  • Python
  • React js
  • SQL

Required Skills: * Strong experience in full-stack development. Strong experience in React and TypeScript. Strong proficiency in JavaScript (ES6). Strong proficiency in Python. Solid experience with Node.js backend development. Experience working with AWS services and deploying applications to AWS. Experience building REST APIs and microservices. Knowledge of CI/CD, DevOps practices, and automation. Strong communication and collaboration skills. Preferred Skills: * Experience with automated testing (E2E and API testing). Familiarity with AWS CDK or CloudFormation. Experience with event-driven architectures. Experience working in Agile environments. Education/Certifications: * Bachelor s degree and/or other advanced degree(s). Relevant AWS or other professional certifications.

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