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.ioAs 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