Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)

Role Overview

You’ll be part of a big group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies—focusing on data modeling, data quality, governance, permissible use, and scalable pipeline development.

What You Will Do

Architect & Build: Independently design, develop, test, and deploy resilient, scalable, cloud-first data solutions, lakehouse architectures, and real-time streaming data pipelines. Technical Leadership & Mentorship: Lead and influence cross-functional Agile teams (developers, data analysts, and data scientists).

Why It Might Be a Fit

You will be at the forefront of driving a major technical transformation. Your team builds scalable platforms that deliver hyper-personalized, omnichannel messages and experiences across owned and paid Adtech channels to help millions of Americans achieve financial empowerment.

Requirements

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in application development (Internship experience does not apply)
• At least 2 years of experience in distributed data
• At least 2 years of experience with SQL
• At least 2 years of experience with one programming language (Python, Java, or Scala)
• At least 2 years of experience in data pipeline design and development
• At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Benefits

• Dental insurance
• Vision insurance
• Performance based incentive compensation
• Long term incentives (LTI)
• Cash bonus(es)
• Comprehensive, competitive, and inclusive set of health, financial and other benefits

Tagged as: Python, Snowflake, SQL