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Build and enhance scalable front-end applications using React and TypeScript integrated with AWS services. | 5+ years front-end experience with React, TypeScript, AWS, API integration, testing, and CI/CD in agile teams. | Onsite/ Hybrid/ Remote: Remote (EST Work Hours) Duration: 12 Months to start with Rate Range: Upto $80/hr W2 or $88/hr C2C Work Authorization: GC, USCAll valid EADs except OPT, CPT Must Have: • 5+ years of professional front-end software development experience • Strong React and TypeScript experience • HTML5, CSS3, JavaScript • AWS experience with CloudFront, S3, ECS or Lambda, and API Gateway • REST and GraphQL API integration • Front-end testing with Jest, React Testing Library, Cypress, or Playwright • CI/CD experience using GitHub Actions, AWS CodePipeline, or similar • Experience building scalable and production-grade front-end applications • Web performance optimization and accessibility standards • Experience working on customer-facing applications Responsibilities: • Build and enhance front-end applications using React and TypeScript. • Revamp and modernize existing UI experiences for internal high-visibility applications. • Develop new front-end capabilities for election and analytics-focused platforms. • Collaborate with UX designers, product managers, and engineering teams to deliver scalable user experiences. • Integrate front-end applications with AWS services, REST APIs, GraphQL APIs, and streaming data services. • Improve usability, search, navigation, and workflow efficiency across applications. • Write clean, maintainable, and scalable production-ready code. • Participate in testing, deployment, troubleshooting, monitoring, and optimization activities. • Support rapid development timelines and work independently with minimal oversight. Qualifications: • 5+ years of non-internship front-end engineering experience. • Strong hands-on expertise with React, TypeScript, JavaScript, HTML, and CSS. • Experience deploying and supporting applications in AWS environments. • Understanding of component architecture, state management, rendering performance, and browser behavior. • Experience working in agile product and engineering teams. • Ability to quickly ramp up and contribute to existing applications and codebases. • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. Nice to Have: • Experience with AI-assisted or LLM-integrated interfaces. • Familiarity with Cursor, Claude Code, or similar AI development tools. • Familiarity with machine learning concepts. • Databricks exposure. • Experience with data visualization libraries such as D3.js, Recharts, or Chart.js. • Experience with Next.js or server-side rendering frameworks. • Experience with CloudWatch, Datadog, or similar observability tools. • Prior experience supporting high-traffic media, news, or real-time analytics platforms.

Develop and enhance scalable front-end applications using React and TypeScript integrated with AWS services and APIs. | Requires 5+ years front-end development experience with React, TypeScript, AWS, API integration, testing, and CI/CD, plus a relevant bachelor's degree or equivalent. | Job Description: • Build and enhance front-end applications using React and TypeScript. • Revamp and modernize existing UI experiences for internal high-visibility applications. • Develop new front-end capabilities for election and analytics-focused platforms. • Collaborate with UX designers, product managers, and engineering teams to deliver scalable user experiences. • Integrate front-end applications with AWS services, REST APIs, GraphQL APIs, and streaming data services. • Improve usability, search, navigation, and workflow efficiency across applications. • Write clean, maintainable, and scalable production-ready code. • Participate in testing, deployment, troubleshooting, monitoring, and optimization activities. • Support rapid development timelines and work independently with minimal oversight. Requirements: • 5+ years of professional front-end software development experience • Strong React and TypeScript experience • HTML5, CSS3, JavaScript • AWS experience with CloudFront, S3, ECS or Lambda, and API Gateway • REST and GraphQL API integration • Front-end testing with Jest, React Testing Library, Cypress, or Playwright • CI/CD experience using GitHub Actions, AWS CodePipeline, or similar • Experience building scalable and production-grade front-end applications • Web performance optimization and accessibility standards • Experience working on customer-facing applications • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. Benefits: • Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

Design and build scalable data pipelines and optimize data platforms using AWS and big data tools. | 7+ years data engineering experience with AWS, Python, SQL, and distributed data systems. | Location: Los Angeles, CA Onsite/ Hybrid/ Remote: Remote Duration: 12 Months Rate Range: Max is $96/hr on C2C or $89/hr on W2 Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT Must Have: • Databricks • Snowflake • Redshift • AWS (S3, Glue, Lambda) • Advanced SQL (performance tuning) • Python • Airflow or DBT Responsibilities: • Design and build scalable data pipelines for large datasets • Develop batch and real-time data processing solutions • Work with Databricks, Snowflake, and Redshift for data platforms • Optimize SQL queries and improve data performance • Build and maintain workflows using Airflow or DBT • Ensure data quality, reliability, and governance • Partner with data scientists to deploy ML models • Collaborate with teams to translate business needs into data solutions Qualifications: • 7+ years of data engineering experience • Strong experience with AWS data services • Hands-on coding in Python and SQL • Experience with distributed data systems and big data tools • Experience building enterprise-scale data platforms Nice to Have: • Monte Carlo (data observability) • Atlan (data catalog) • CI/CD (GitHub Actions or Jenkins) • Experience with ML or statistical modeling