Key skills
SQLAIMachine LearningMLETLELTData EngineeringAnalyticsBIPower BISnowflakeAzureSQL ServerCommunicationCollaboration
About this role
K1X, Inc. is transforming how alternative investment tax data is managed through their innovative platform. 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
Requirements:
- 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
- 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