Data Engineer

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. 
• 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