
11 - 50 employees
💼 Consulting
🏥 Healthcare
⚖️ Legal
Consulting • Healthcare • Legal
K1X is an AI-powered platform that specializes in streamlining alternative investment tax compliance for investors and advisors. The platform offers various automated solutions, including K1 Aggregator for automating the receipt and analysis of K-1 Form data, K1 Creator for digital production of K-1 forms, and 990 Tracker for automating exempt reporting and filing. K1X utilizes patented AI technology to ensure high accuracy and reduce manual data extraction time. It is designed to improve efficiency, reduce costs, and enhance transparency in tax processes, particularly where alternative investments are concerned.
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11 - 50 employees
💼 Consulting
🏥 Healthcare
⚖️ Legal
Consulting • Healthcare • Legal
K1X is an AI-powered platform that specializes in streamlining alternative investment tax compliance for investors and advisors. The platform offers various automated solutions, including K1 Aggregator for automating the receipt and analysis of K-1 Form data, K1 Creator for digital production of K-1 forms, and 990 Tracker for automating exempt reporting and filing. K1X utilizes patented AI technology to ensure high accuracy and reduce manual data extraction time. It is designed to improve efficiency, reduce costs, and enhance transparency in tax processes, particularly where alternative investments are concerned.
• 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
• 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 • 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
• Unlimited Vacation Policy + Sick Time + Holidays • Paid Parental Leave • Fully Remote Opportunity • Healthcare Benefits and 401K • Growing Startup Culture
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