Data Engineer

at  Better

Better is reimagining home finance and making it faster, cheaper, and easier for everyone to become a homeowner. We leverage creative technology and innovation to make the home buying journey more approachable and understandable and home finance more affordable and accessible. Here are some interesting facts to help you get to know Better:
- We’ve funded over $100 billion in loans for our customers, more than any other fintech
- We ranked #1 in the U.S. on LinkedIn’s Top Startups 2020 and 2021
- We are Forbes’ Best Online Mortgage Lender for 2023
- We are USA Today’s Best Mortgage Lenders of 2023, Best for FHA Loans
- We have raised over $1.2 billion in equity capital to transform the mortgage industry, the largest financial asset class in the world
- And we’re just getting started!
We are a place where smart, hungry, ambitious people who want to recognize their full potential thrive.
Better.com is growing, and we’re looking for a Data Engineer to join our Data team. The ideal candidate will have at least 3 years of experience in data engineering and will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using DBT, Airflow, Redshift, Python, and Apache Spark.

QUALIFICATIONS

• 3+ years experience in a data analytics, data science, or data engineering role
• Bachelor’s degree in computer science, Engineering, or a related field.
• Knowledge of big data technologies (e.g., Apache Iceberg, Spark)
• Minimum of 3 years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational databases (e.g., Redshift).
• Strong programming skills in Python.
• Experience with data pipeline and workflow management tools (e.g., Apache Airflow, DBT).
• Strong problem-solving skills and attention to detail
• Clear and direct communication skills about complex technical topics
• Passion for building the best version of whatever you’re working on
• A track record of working autonomously, with strong organizational and time management skills
• A desire to continually keep up with advancements in data (engineering, analytics, science) team practices

• Design, build, and maintain efficient and reliable data pipelines using DBT and Airflow.
• Develop and optimize ETL processes to ensure data quality and integrity in Redshift.
• Collaborate with data analysts, and other stakeholders to understand data requirements and deliver solutions.
• Implement and maintain data warehousing solutions to support business intelligence and analytics.
• Monitor and troubleshoot data pipeline performance and issues.
• Support current data pipelines and handle requests from internal users, such as changing schemas and adding new data sources.
• Assist in implementing components of a Data Lakehouse architecture using Apache Spark and Apache Iceberg.