# Data Engineer

> K1X · Indianapolis, United States (Remote) · Full-time · Posted 2026-08-10

**Workplace:** remote

## Description

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

## Apply

[Apply at K1X](https://apply.workable.com/k1x/j/FDC136F305/apply)

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