K1X is hiring a
Data Engineer

Summary

The job description is for a Staff Data Engineer position at K1X, a company that provides digital solutions for the K-1 industry. The ideal candidate will have 6+ years of experience as a data engineer with expertise in unstructured and semi-structured data, and proficiency in Python and machine learning frameworks. The position is fully remote and located in either the Central Time Zone or Eastern Time Zone.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• 6+ years of relevant industry experience as a data engineer, with a focus on unstructured and semi-structured data (e.g. financial documents)
• Experience with various data storage solutions (SQL, NoSQL, data lakes, data warehouses, ...) as well as cloud platform offerings and vendor solutions (for example, Azure Cosmos, GCP BigQuery, DataBricks, ...)
• Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences
• Proficiency in Python and familiarity with machine learning frameworks and libraries (e.g. scikit-learn, PyTorch)

Responsibilities

• Design, build, and maintain scalable and efficient data pipelines to support machine learning models and analytics
• Collaborate with data scientists, software engineers, and other stakeholders to understand data needs and deliver appropriate solutions
• Implement best practices for data governance, data quality, and data lifecycle management
• Mentor and guide junior team members, fostering a collaborative and innovative work environment

Preferred Qualifications

• Previous experience with applications of NLP to financial documents
• Familiarity with alternative investment accounting needs
• Prior experience managing a moderate-sized (300k+ documents) training corpus for language models

Benefits

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