Flex is seeking Engineers to join the Data Infrastructure team that is shaping the future of the finance data platforms. The Data Infrastructure team is committed to building a scalable modern data platform on Flex’s current and future financial products with a cutting-edge, forward-thinking mindset. Our goals are to empower all facets of the business with Machine Learning and Business Intelligence and to improve the end-users ability to better utilize our data. The impact is beyond reporting and analytics, our team's tools have a direct influence on the growth and strategy of Flex’s future direction. As a company, Flex has a culture of data-driven decision-making and demands data that is timely, accurate, and actionable

What You’ll Do

• Design, implement and maintain high-quality online/office/near-line data infrastructure service, such as Kafka, Logging service, Data access layer, and Data lake to support all teams in Flex
• Significant, practical software engineering experience building fault-tolerant, distributed, scalable, and secure applications that are easy to support and extend 
• Create efficient scalable real-time streaming pipelines and off-line ETL pipelines
• Continuously improving data operations: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Design, implement, and support a platform providing secured access to large datasets
• Sound judgment, relevant data, and an open mind to help you and the team navigate together when the way forward isn’t clear 
• Stewarding technical standards and quality
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Tune application and query performance using profiling tools and SQL
• Drive the collection of new data and the refinement of existing data sources to continually improve data quality

What We’re Looking For

• Professional 5 years of industry experience in the data domain.
• Advanced proficiency with Python and SQL. Java experience is a plus!
• Work in big data platforms and tooling (Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc).
• You must be comfortable working with relational and no SQL databases in a production environment.
• Familiarity with AWS services. Experience in using Lambda, Step Functions, RDS, EKS, EMR, DMS, etc.
• Infrastructure as Code experience via CDK and/or TerraformStrong fundamentals of data structures, algorithms, and design patterns.
• Passion and intellectual curiosity for the FinTech domain.Comfortable working in an ambiguous, fast-paced, and high-growth dynamic environment. 
• Excellent written and verbal communication to take ownership of meeting with cross-functional team leads on a regular basis 

The national pay range for this role is $175,000-$210,000 in base salary. Individual compensation will be commensurate with the candidate's experience aligned with Flex's internal leveling guidelines and benchmarks.