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** Originally posted on [Himalayas](https://himalayas.app)