Data Engineer

1 Month ago • 2 Years + • Data Analysis

Job Summary

Job Description

As a Data Engineer, you will play a key role in shaping the data infrastructure behind cloud and edge solutions. You will design, build, and maintain robust data systems to support real-time insights, automation, and analytics. Your work will directly impact the performance, scalability, and reliability of the end-to-end IoT platform. This involves designing, building, and maintaining scalable data solutions using AWS and IoT technologies for both batch and real-time analytics. You'll collaborate closely with cross-functional teams to deliver comprehensive data solutions and define how data is collected, monitored, and acted on in critical environments.
Must have:
  • Bachelor’s degree in Computer Science or related field and 2+ years experience.
  • Experience in prototyping, testing, and code review.
  • 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 and excellent communication skills.
  • Must be available to work in Pacific Time (PT) zone.
Good to have:
  • 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
  • Exposure to additional monitoring tools or end-to-end testing frameworks
Perks:
  • 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

Job Details

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

Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR 

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