Data Engineer

At Inherent Technologies, we believe that data is the heartbeat of innovation, and we are looking for a passionate, forward-thinking Data Engineer to join our remote team for an exciting one-year journey. If you are a recent graduate or early-career professional eager to bridge the gap between complex raw data and actionable intelligence, this is your platform to shine. You will dive deep into the modern data stack, working hands-on with Databricks, Azure Data Factory, and PySpark to architect robust, config-driven pipelines that power real-world solutions. This isn’t just about moving data; it’s about shaping the infrastructure that enables our organization to make smarter, faster decisions.

You will be at the cutting edge of the industry, utilizing advanced tools like Databricks Genie and GitHub Copilot to streamline your workflow and explore the potential of AI-driven insights. We are looking for someone who thrives on solving structural puzzles, whether you are mastering Star and Snowflake schemas or working with open table formats like Delta Lake and Iceberg. If you are ready to accelerate your career in a supportive, remote-first environment where your technical curiosity is encouraged and your contributions directly impact our cloud-based architecture, we invite you to apply and help us define the future of data at Inherent Technologies.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.