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K1X

Data Engineer

K1X Chicago, Illinois, United States

Technology, Information and Internet · 51-200 employees

7 h ago
Remote data-engineer Senior (5-10 yrs) Full-time United States
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About the role

You will design, build, and maintain scalable data architectures and ETL/ELT pipelines to support operational, analytical, and machine learning workloads. Additionally, you will partner with product and engineering teams to implement data quality checks and enable advanced analytics.

What they look for

Data engineering ETL/ELT pipelines SQL Relational data modeling Snowflake Azure Power BI Data architecture Data quality Machine learning workflows Data lakehouse Backend engineering Data monitoring Analytical workloads

Requirements

The role requires 4–8+ years of experience in data or backend engineering with strong proficiency in SQL and relational data modeling. Candidates should have experience with cloud-based data platforms, specifically Azure, and a solid understanding of data quality and monitoring.

Benefits

Unlimited vacation policy Sick time Holidays Paid parental leave Healthcare benefits 401k

Full 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. 

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. 

  • Unlimited Vacation Policy + Sick Time + Holidays
  • Paid Parental Leave
  • Fully Remote Opportunity
  • Healthcare Benefits and 401K
  • Growing Startup Culture

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