Note: The job is a remote job and is open to candidates in USA. K1X, Inc. is transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. They are seeking a Data Engineer to design and maintain data pipelines and infrastructure that support machine learning initiatives and analytics-driven product features.

Responsibilities

• 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

Skills

• 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
• 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

Company Overview

Company H1B Sponsorship