Braze is hiring a Junior Data Engineer (Nov 25)

Braze is seeking a Junior Data Engineer to join our expanding engineering team. You will combine strong Python and SQL skills to transform raw data into valuable business insights. This client-facing role collaborates closely with customer success, operations, and data scientists to deliver actionable data solutions.

What You'll Do

• Write efficient server-side Python code using the Pandas and PySpark DataFrame APIs for scalable data transformations.
• Design, develop, test, and maintain scalable data pipelines for aggregation, cleansing, processing, and validation.
• Automate data onboarding and analysis processes to enhance data variety and velocity.
• Integrate client data with various public and private sources.
• Ensure data integrity and security throughout project lifecycles.
• Explore data to identify potential quality issues throughout the data lifecycle.

What We're Looking For

• A Bachelor's degree in Data Engineering, Computer Science, Data Science, Math, Statistics, Information Systems, or 1-2 years of relevant work experience.
• Strong knowledge of Python, with a focus on Pandas and/or PySpark.
• Proficiency in SQL for data analysis and manipulation, with experience in relational databases, preferably PostgreSQL.
• Experience using Git for version control.
• Strong problem-solving skills and a proactive, can-do mentality, with the ability to work independently in a fast-paced environment on multiple concurrent projects.
• Excellent communication skills with the ability to collaborate effectively in cross-functional teams.
• Keen attention to detail and adaptability, with a willingness to learn new technologies and a critical approach to data quality.
• Authorization to work in the United States.

Nice to Have

• Familiarity with utilizing Parquet datasets; experience with PyArrow is a plus.
• Familiarity with aggregating in Spark or PySpark.
• Basic familiarity with AWS cloud services and their core functionalities.
• A working knowledge of common machine learning tools and techniques.
• A willingness to travel domestically periodically for company events (roughly 2-4 times per year).

Technical Stack

• Python, Pandas, PySpark, SQL, PostgreSQL, Git, Parquet, PyArrow, AWS

Team & Environment

You will collaborate closely with customer success, operations, and data scientists.

Benefits & Compensation

• Salary: $79,000-$93,000
• Health insurance
• 401K
• Three weeks of PTO
• Schedule and work-from-home flexibility
• Skills training
• Industry conferences

Work Mode

This is a fully remote position.

Braze is committed to creating an inclusive and diverse workplace, ensuring equal employment opportunities for individuals regardless of race, color, religion, sex, national origin, age, disability, or genetics.