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K1X is transforming the K-1 tax process by digitizing and streamlining how alternative investment data is delivered, accessed, and managed. We provide AI-powered solutions that extract, structure, and distribute K-1 information—replacing PDFs with a seamless digital experience trusted by the nation’s leading funds, investors, and accounting firms.
Data Engineer
Location
Indiana
Posted
101 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Engineer
K1X
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.
Job 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
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