Lead Data Engineer

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 NoSQL 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. Requirements 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, Scala, or Java (Preferred) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (Preferred) 4+ year experience working on real-time data and streaming applications (Preferred) 4+ years of experience with NoSQL implementation (Mongo, Cassandra) (Preferred) 4+ years of data warehousing experience (Redshift or Snowflake) (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). Core Competencies Demonstrates expertise in full-stack development, leveraging programming languages such as Java, Scala, and Python, along with cloud computing platforms like AWS and Azure. Proven ability to collaborate within Agile teams to deliver robust, cloud-based solutions and implement big data technologies effectively. Highest-signal resume keywords Full-Stack Development Cloud Computing (AWS, Azure, Google Cloud) Big Data Technologies (Hadoop, Spark, Kafka) NoSQL Implementation (Mongo, Cassandra) Agile Engineering Practices ATS Optimization Keywords Hard Skills Java Scala Python SQL NoSQL Data Warehousing (Redshift, Snowflake) Distributed Computing (MapReduce, EMR) UNIX/Linux Machine Learning Real-Time Data Processing Soft Skills Collaboration Mentoring Communication Problem-Solving Adaptability Certifications & Qualifications Bachelor's Degree Industry Keywords Financial Empowerment Technical Solutions Engineering Community Tech Trends Streaming Applications Tools & Technologies Cloud-Based Data Warehousing Agile Tools Interactive AI Tooling Microservices Distributed Data Tools J-18808-Ljbffr