Lead Data Engineer – Risk Tech, Python, AWS

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and No
  
  SQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

• Bachelor’s Degree
• At least 4 years of experience in application development (Internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• 7+ years of experience in application development including Python, SQL, Golang, Java or Scala (Preferred)
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred)
• 4+ years experience with Distributed data/computing tools (Map Reduce, Flink, EMR, Kafka, Spark, or MySQL) (Preferred)
• 4+ year experience working on real-time data and streaming applications (Preferred)
• 4+ years of experience with SQL implementation(PostgreSQL) and No
  
  SQL implementation (DynamoDB) (Preferred)
• 4+ years of data warehousing experience (Snowflake or Redshift) (Preferred)
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting (Preferred)
• 2+ years of experience with Agile engineering practices (Preferred)
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion (Preferred)
• Must be authorized to work in the U.S. without sponsorship.

Demonstrates expertise in full-stack development, leveraging programming languages such as Java, Scala, and Python, along with cloud computing platforms like AWS and Azure. Proficient in big data technologies and data warehousing solutions, with a strong focus on collaboration and Agile practices.

• Full-Stack Development
• Cloud Computing (AWS, Azure, Google Cloud)
• Big Data Technologies (Map Reduce, Spark, Kafka)
• Data Warehousing (Snowflake, Redshift)
• Agile Engineering Practices

• Java
• Scala
• Python
• SQL
• Golang
• No
  
  SQL (DynamoDB)
• RDBMS (PostgreSQL)
• Distributed Computing
• Data Warehousing
• UNIX/Linux

• Collaboration
• Mentoring
• Communication
• Problem-Solving
• Adaptability

• Agile
• Machine Learning
• Microservices
• Real-Time Data
• Streaming Applications

• AWS
• Microsoft Azure
• Google Cloud
• Redshift
• Snowflake
• Map Reduce
• Flink
• EMR
• Kafka
• Spark