Senior Data Engineer

Description:

About Zoe

Zoe Financial is a wealth platform for consumers to find, hire, and grow their wealth through innovative technology and exceptional client service. Zoe has raised over $24M and is backed by SoftBank and top executives at Blackrock, Charles Schwab, Uber, and Doordash. Its accolades include FastCo’s 2022 Most Innovative Personal Finance Companies, Nerdwallet’s 2022 & 2023 Best Online Financial Advisor, and Morningstar’s Fintech Startup of the Year 2019. The New York-based company has a strong leadership team with over 20 years of industry experience at firms like Morgan Stanley, JP Morgan, Merril Lynch, and Learnvest. We offer the excitement of a rapidly growing company with the stability of a tenured leadership team and advisory board.

We have offices in New York and Bogota, Colombia.

What you get

We’ve got a highly competitive salary and stock options package (as a member of the team you own a piece of the company we get to build together.) In addition, the Colombian team gets to travel to NYC once a year (Travel expenses paid) for our company offsite!

Responsibilities:

• Collaborate with cross-functional teams to understand data needs and requirements.
• Design, develop, and maintain data pipelines, ETL processes, and data integration solutions.
• Build and optimize data storage solutions, including data warehousing and data lakes.
• Ensure data quality, consistency, and reliability throughout the data pipeline.
• Monitor and troubleshoot data pipelines to ensure smooth operation.
• Perform data transformations and aggregations to support analytics and reporting.
• Work with data scientists and analysts to enable advanced analytics.
• Keep up-to-date with industry trends and best practices in data engineering.

Requirements:

1.Education and Experience:

• Degree in Computer Science, Data Science, or a related field.
• 2+ years of professional experience in data engineering or a related role.

2.Technical Skills:

• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data modeling, ETL processes, and data integration.
• Strong SQL skills and knowledge of database systems (e.g., MySQL, SQL Server, or PostgreSQL).
• Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases.
• Experience with data pipeline orchestration tools (e.g., Apache Airflow).
• Knowledge of version control systems (Git).
• Comfortable working with cloud platforms (AWS)

3Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Detail-oriented with a focus on data accuracy and quality.
• Ability to work independently and in a team environment.