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# Data Engineer / Full Stack Engineer

- **Company:** Indotronix Avani Group
- **Location:** Plano, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Batch Processing, Information Engineering, Software Engineering, Graphql
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/UDrBgjZVfeUoh8do8tUo8JScByKXFkgPKbtu4xc5jAc

## About the Role

10+ years of hands-on software engineering experience

 - Deep expertise in application development and data engineering
 - Demonstrated proficiency with GraphQL and API development
 - Advanced AWS skills, including Lambda, ECS, and Glue
 - Strong experience with PySpark, Apache Spark, Snowflake, AWS Glue, and batch processing frameworks
 - Working knowledge of DynamoDB and PostgreSQL
 - Proven track record in cloud monitoring, observability, and providing production support
 - Bachelor's degree required for full-time conversion

Preferred Skills

 - Experience in lean, fast-paced engineering environments
 - Passion for building scalable, reliable systems from the ground up, 10+ years of software engineering experienceStrong blend of application development and data engineering expertiseProven GraphQL/API development experience (required)Extensive AWS experience including:LambdaECSGlueStrong data engineering background with:PySparkApache SparkSnowflakeAWS GlueBatch processing frameworks

## Description

Join a high-impact, agile team as a Senior Data Engineer / Full Stack Engineer, designing and building innovative, cloud-native applications and next-generation backend services. You'll collaborate with a lean, expert team to deliver enterprise-scale data solutions, leveraging cutting-edge AWS and big data technologies. This contract offers a path to full-time employment for candidates with a four-year degree., Architect and develop robust cloud-native applications and backend services

 - Design and implement low-latency, enterprise-ready GraphQL APIs
 - Build, optimize, and maintain scalable data pipelines utilizing AWS and big data tools
 - Apply monitoring and observability best practices to ensure system reliability and performance
 - Collaborate closely with two full-time engineers and contribute actively to a high-performing team
 - Deliver production-ready solutions with a strong focus on reliability and security


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