Data Engineer - Machine Learning and Analytics

We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io

As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.

About The Role

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.

What You'll Do

• 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

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• Partner with Product, Engineering, and AI teams on data solutions
  
  
  

Requirements


Who You Are

• 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
  
  
  

It's Truly a Match If You Have

• 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