Data Analytics Engineer

About the role

dv01 is a data-first company dedicated to bringing unparalleled transparency to investment performance and risk in the $16+ trillion structured finance market. We leverage data analytics to empower financial freedom through products like consolidating credit card debt, refinancing student loans, buying homes, and starting small businesses. Our platform supports more than 400 of the largest financial institutions, covering over 75 million loans across various sectors.

Responsibilities

• Contribute to the development and management of dv01's data pipeline, ensuring efficient and scalable business logic.
• Work closely with analysts and clients to understand and manage complex data sets, enabling strategic decision-making in responsible lending.
• Collaborate with engineers and stakeholders to integrate new datasets and build modern analytical tools.
• Utilize state-of-the-art technologies such as dbt, Airflow, and Apache Spark to process and analyze large volumes of data.
• Engage with clients to gather insights and requirements, translating these into actionable solutions that enhance dv01's offerings.

Requirements

• Proven track record of success in data engineering roles, demonstrated through early career achievements or a portfolio of relevant projects.
• Expertise in Python, Scala, or Java, along with proficiency in SQL for handling and querying large datasets.
• Experience with relational databases and the ability to design and implement effective data models.
• Knowledge of big data processing frameworks and tools, including experience with dbt, Airflow, and Apache Spark.
• Understanding of financial concepts and the ability to apply data analytics to solve complex problems in the structured finance industry.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and clients.

Qualifications

• Education in computer science, statistics, or a related field.
• At least 3 years of professional experience in data engineering or a related field.
• Experience with cloud platforms such as Google Cloud Platform.

Skills

• Data wrangling and preprocessing techniques.
• SQL and database management.
• Big data processing and analytics.
• Financial modeling and analysis.
• Cloud computing and infrastructure management.

Benefits & Perks

• Unlimited Paid Time Off (PTO).
• $1,000 Learning & Development Fund.
• Remote-First Work Environment.
• Health Care and Financial Planning benefits.
• Flexible Gym Membership and Wellness Fund.
• New Family Bonding Leave Policy.