Data Engineer

About this role

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 collabo...