Staff Data Engineer, Flex
$199-237k
+ Equity; Salary is dependent on location
Flexible rent payment application
Posted today
Flexible rent payment application
501-1000 employees
Posted today
$199-237k
+ Equity; Salary is dependent on location
501-1000 employees
Company mission
Flex's mission is to empower as many renters as possible with flexibility over their most significant recurring expense.
Role
Who you are
- A minimum of 8 years of industry experience in the data infrastructure/data engineering domain
- A minimum of 8 years of experience with Python and SQL. Java experience is a plus
- A minimum of 4 years of industry experience using DBT
- A minimum of 4 years of industry experience using Snowflake and its basic features
- A minimum of 4 years of industry experience using Infrastructure as Code tools, specifically CDK and Terraform
- Strong written and verbal communication skills for key collaboration
- 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 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
- Prior experience working on cross-functional teams
- 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
What the job involves
- 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
- 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
Our take
Many people struggle to pay their rent every month, with a variety of bills hitting their bank accounts simultaneously. Whilst many of these people earn enough money to cover their bills, the inflexible nature of monthly bills can make the all-in-one payment a harder obstacle.
Flex provides a mobile application for the flexible payment of rent, allowing users to pay their landlords through flexible payment plans, reschedule payments when necessary, and protect their funds through Overdraft Protection. The company achieves this by partnering with estate agents and paying their resident's bills upfront, taking on the challenges that landlords would normally have due to late payments.
Flex has experienced extremely rapid growth since its founding which has caused some issues, as it struggled to keep up with the surge in new customers. Having made improvements to its product and scaled its customer service team, it is set to continue providing a service that has come to be highly valued by both tenants and landlords.
Freddie
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2022
$160m
SERIES C
Apr 2021
$46.6m
SERIES B
Total funding: $225.1m
Company benefits
- 100% company-paid medical, dental, and vision
- 401(k) + company stock options
- Unlimited paid time off + company paid holidays
- Parental leave + IVF and adoption support
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Pet Insurance
- Free Flex subscription
Company HQ
Midtown Manhattan, New York, NY
Leadership
Shragie Lichtenstein
(CEO)Experience working in venture capital investments for Point72 and TVC. Also co-founded Boundless Reality.
YeTong Shao
(CPO)Experience as Data Science Researcher. Also co-founded Boundless Reality.
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