Principal Data Engineer

4 days ago

Houston, United States PriceEasy AI Full time

About PriceEasy:

Join one of the most respected and cutting-edge companies in the pricing and analytics industry PriceEasy, a VC-backed leader, empowers convenience retailers with actionable insights through advanced technologies. With a robust, innovative platform trusted by top companies globally, we are at the forefront of revolutionizing how businesses optimize pricing, analytics, and site selection. This is your chance to contribute to a fast-growing, venture-backed company using modern technologies to solve complex, real-world challenges.


Learn more at priceeasy.com


YOU MUST BE A HANDS ON EXCEPTIONAL PROGRAMMER AND LOVE PROGRAMMING TO BE PART OF PRICEEASY TECHNICAL TEAM. WE HAVE NO PLACE FOR PEOPLE WHO JUST KNOW HOW TO MANAGE IN OUR TECH TEAM.


Position Overview:

We are seeking a visionary Architect/Data Engineer to design, build, and scale robust data solutions that power PriceEasy's industry-leading platform. In this pivotal role, you will leverage your expertise in cloud-based architectures, big data processing, and modern engineering practices to shape solutions that drive business intelligence and innovation.

Key Responsibilities:

  • Design and implement modern cloud-based application architectures for data engineering and analytics workflows.
  • Develop, optimize, and maintain big data pipelines capable of handling large-scale datasets with efficiency.
  • Write clean, efficient, and scalable Python code for data processing, ETL, and application development.
  • Ensure data quality, consistency, and security across multiple systems and platforms.
  • Collaborate with stakeholders to define data requirements and translate them into scalable technical solutions.
  • Monitor, troubleshoot, and enhance system performance and reliability, ensuring uptime and responsiveness.
  • Mentor and provide technical guidance to team members and stakeholders on best practices in architecture and data engineering.

Must-Have Qualifications:

  • Proven expertise in designing and implementing modern cloud-based architectures with AWS.
  • Hands-on experience with big data processing frameworks such as Apache Spark or Hadoop.
  • Proficiency in Python with demonstrated success in building scalable data solutions.
  • Strong understanding of distributed systems and microservices architecture.
  • 5+ years of experience in developing and scaling technology solutions.
  • Excellent problem-solving abilities with acute attention to detail.
  • Strong communication and collaboration skills to work effectively across teams.
  • Experience with Snowflake for data warehousing and analytics.
  • Familiarity with Redis for caching and real-time data applications.
  • Strong understanding of SQL and NoSQL database technologies.
  • Experience implementing CI/CD pipelines and DevOps practices.
  • Knowledge of machine learning workflows and tools for predictive analytics.
  • Hands-on experience in startups or high-growth environments.

What We Offer:

  • Exciting Career Growth: Be part of a VC-backed company working on industry-defining technologies.
  • Cutting-Edge Environment: Collaborate with innovators in one of the most respected tech platforms in the industry.
  • Competitive Compensation: A market-leading salary and benefits package tailored to your skills and experience.
  • Collaborative Culture: A supportive, inclusive workplace that fosters growth and innovation.


This is 100% work from office position in Energy Corridor Area in Houston, TX

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