Data Engineer

2 days ago

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K1X

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Our goal is to transform the K-1 experience by moving a traditionally analog based-process to an all-digital experience.

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Description

• 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)

Benefits

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