Data Engineer

2 days ago

New York, New York, United States K1X Full time
Transform the K-1 Industry with K1X

We are K1X, a pioneering company revolutionizing the K-1 industry by moving traditional PDF-based processes to an all-digital experience. Our software solutions are used by the nation's largest institutional investors, funds, and accounting firms.

About the Role

We are seeking a highly skilled and experienced Staff Data Engineer to join our dynamic team. As a Staff Data Engineer, you will play a crucial role in supporting our machine learning models and ensuring that our systems are robust, efficient, and scalable.

Key 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.
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).
Preferred Experience
  • 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.
What We Offer
  • Unlimited Vacation Policy + Sick Time + Holidays.
  • Paid Parental Leave.
  • Fully Remote Opportunity.
  • Healthcare Benefits and 401K.
  • Growing Startup Culture.

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