Data Engineer

**About us**:Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies - from emerging startups to large Fortune 50 firms - and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.**The Role**:As a Data Engineer on our team, you'll play a key role in shaping the data infrastructure behind our cloud and edge solutions. You'll work alongside a group of talented engineers and take ownership of designing, building, and maintaining robust data systems that support real-time insights, automation, and analytics.

From ingesting edge device data to optimizing cloud-based pipelines, your work will directly impact the performance, scalability, and reliability of our end-to-end IoT platform. This is a unique opportunity to contribute to the evolution of a technology stack that powers intelligent systems across industries. You'll be part of a fast-moving team that values innovation, ownership, and engineering excellence—and you'll help define how data is collected, monitored, and acted on in critical environments. We're seeking a motivated Data Engineer to design, build, and maintain scalable data solutions.

You'll work with cutting-edge AWS and IoT technologies to deliver high-impact, end-to-end data pipelines for both batch and real-time analytics, collaborating closely with cross-functional teams.**What You'll Do**:- 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.**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****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**What We Offer**:- 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