About the Role
Flex Engineering is seeking senior engineers 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.
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.
