Data Engineer

Role Description

We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x’s machine learning initiatives and future analytics-driven product features. This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.

• Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads.
• Contribute to the evolution of K1x’s data lakehouse strategy, including adoption of Snowflake.
• Develop and maintain robust ETL/ELT pipelines for large-scale data processing.
• Implement data quality checks, validation, and monitoring.
• Enable machine learning workflows with clean, well-structured datasets.
• Support analytics and reporting use cases including Power BI.
• Partner with Product, Engineering, and AI teams on data solutions.

Qualifications

• 4–8+ years of experience in data engineering or backend engineering with a data focus.
• Strong experience building data pipelines and ETL/ELT workflows.
• Proficiency with SQL and relational data modeling.
• Experience with cloud-based data platforms (Azure preferred).
• Understanding of data quality, reliability, and monitoring.
• Strong communication and collaboration skills.

Requirements

• An engineering mindset applied to data platforms.
• Passion for building scalable, reliable data foundations.
• Interest in enabling ML and analytics-driven products.
• Experience or familiarity with Snowflake, SQL Server, Azure, and Power BI.
• Comfort balancing near-term delivery with long-term architecture.

Benefits

• Unlimited Vacation Policy + Sick Time + Holidays
• Paid Parental Leave
• Fully Remote Opportunity
• Healthcare Benefits and 401K
• Growing Startup Culture