Remote Jobs at dv01

Candidates should have 3+ years of professional experience writing production-ready code in Python, DBT, Scala, or Java, with high proficiency in SQL and the ability to write efficient code considering resource and performance constraints. A minimum of 2 years of professional experience working directly with data pipelines, ideally with exposure to loan datasets, is required. Familiarity with relational data concepts, big data tools, and cloud-native technologies like Google Cloud Platform (BigQ…

Candidates should have 1-2 years of QA experience with a solid understanding of various testing methods, including black box, exploratory, and boundary testing. Familiarity with front-end and back-end systems, APIs, and SQL databases is required. Strong written and verbal communication skills are essential for detailed problem description and stakeholder communication.

Candidates must be focused, detail-oriented, and able to multitask, with comfort in data analysis, validation, and manipulation. Mastery of Excel and SQL is required, and experience with Python, R, or dbt is a plus. A solid foundation in finance, with a hunger to learn more, and practical familiarity with warehouse financing expertise, including eligibility criteria and excess concentrations, are essential.

- 3+ years of professional experience writing production-ready code in a language such as Python - Familiar with building end-to-end AI/ML systems with MLOps and DevOps practices (CI/CD, continuous training, evaluation, and performance tracking) with hands-on experience using MLflow - At least 3 years of hands-on development of machine learning models using frameworks like PyTorch and TensorFlow, with at least 1 year focused on generative AI using techniques such as RAG, Agentic AI, and Prompt E…

- 2+ years experience managing a team of data or analytics engineers - 7+ years overall data engineering experience, with a strong background in software development fundamentals - Comfortable with agile project management – leading sprint planning and execution - Able to deal with ambiguity and changing priorities due to business needs and situational conditions - Experienced with mentoring and coaching engineers - Technically credible with previous experience as an individual contributor to ad…

- 3+ years experience working with financial data and a deep understanding of loan-level originations and servicing data - Experience working with securitizations and/or multiple asset classes is preferred - Proficient with using SQL, R, or Python to analyze large data sets - Desire and ability to grow quickly on the technical front - Able to identify key metrics and transactional details on financial statements, investor reports, and securitization trustee reports - Able to dive into loan-level…