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