Data Engineer

Summary

Join Tech Holding as a Data Engineer and play a key role in shaping the data infrastructure behind our cloud and edge solutions. You will design, build, and maintain robust data systems, working with a talented team to support real-time insights, automation, and analytics. Your work will directly impact the performance and scalability of our IoT platform. This is a unique opportunity to contribute to a technology stack that powers intelligent systems across industries. You will be part of a fast-moving team that values innovation and engineering excellence. We are seeking a motivated Data Engineer to design, build, and maintain scalable data solutions using cutting-edge AWS and IoT technologies.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, coupled with 2+ years of hands-on software or data engineering experience in a multidisciplinary team
• Proven experience in prototyping, testing, and code review across full development cycles
• Strong proficiency in SQL
• Skilled in scripting languages like Python or JavaScript
• Experience with Linux environments, Docker, and Git
• Solid understanding of cloud infrastructure and Terraform
• Self-motivated, responsible, adept at managing multiple priorities independently, with excellent communication, collaboration, and analytical skills
• A proactive, quick learner with a strong sense of initiative and ownership
• Must be available to work in Pacific Time (PT) zone

Responsibilities

• Build & Manage Data Pipelines: Develop secure and scalable data ingestion and transformation pipelines using AWS services (Glue, Lambda, Athena, Timestream, S3) and edge technologies (MQTT, AWS IoT Greengrass)
• Infrastructure as Code (IaC): Define, develop, and deploy cloud infrastructure using Terraform
• SQL & Data Transformation: Write, optimize, and maintain complex SQL queries for data transformation and validation across AWS data services
• Observability & Security: Implement and maintain observability tools (CloudWatch, Grafana) and ensure robust data security using best practices for IAM, encryption, and access control
• Cross-Functional Collaboration: Partner with software, DevOps, and product teams to deliver comprehensive data solutions

Preferred Qualifications

• Experience with low-latency edge-to-cloud data pipelines
• Familiarity with React/Node.js for internal tools or dashboards
• Hands-on experience with a broader range of AWS services and IaC tools (e.g., Terragrunt, Atlantis)
• Exposure to additional monitoring tools (e.g., Prometheus) or end-to-end testing frameworks

Benefits

• Remote opportunity with collaborative team culture
• Exposure to cloud-first environments and modern DevOps tooling
• Opportunities for growth and cross-functional impact
• Dynamic and fast-paced engineering environment