Senior Software Engineer

Flex Engineering is seeking a senior engineer to join the Data Infrastructure team that is shaping the future of our finance data platforms. The Data Infrastructure team is dedicated to building a scalable, modern data platform to support Flex’s current and future financial products with a cutting-edge, forward-thinking approach. Our goal is to empower all facets of the business with Machine Learning and Business Intelligence, enhancing the end-users' ability to better utilize our data. Our impact extends beyond reporting and analytics; our tools directly influence the growth and strategy of Flex’s future direction. At Flex, we have a culture of data-driven decision-making, and we demand data that is timely, accurate, and actionable.

What You’ll Do

• Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
• Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
• Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
• Create scalable real-time streaming pipelines and offline ETL pipelines.
• Design, implement, and manage a data warehouse that provides secure access to large datasets.
• Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Create engineering documentation for design, runbooks, and best practices.

What We’re Looking For

• A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
• A minimum of 6 years of experience with Python and SQL. Java experience is a plus.
• A minimum of 3 years of industry experience using DBT.
• A minimum of 3 years of industry experience using Snowflake and its basic features.
• Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
• Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
• Industry experience working with relational and NoSQL databases in a production environment.
• Strong fundamentals in data structures, algorithms, and design patterns.

Core competencies: 

• Prior experience working on cross-functional teams.
• Industry experience in using Infrastructure as Code tools, specifically CDK and Terraform.
• Experience with CI/CD to improve code stability and code quality.
• Motivated to help other engineers succeed and be effective.
• Excited to work in an ambiguous, fast-paced, and high-growth dynamic environment. 
• Strong written and verbal communication skills.

For working locations in NY/NJ/CA, the base salary pay range will be $197,000-$213,000

For all other states, the base salary pay range will be $177,000-$192,000