Senior Data Engineer, Flex

$177-213k

Salary dependent on location + Company Equity

SQL

AWS

Python

Java

Kafka

Airflow

Cassandra

Terraform

Hadoop

Spark

Snowflake

Kinesis

Hive

RDS

dbt

Mid and Senior level

Remote in US

Flexible rent payment application

Open for applications

Flexible rent payment application

501-1000 employees

B2BPaymentsRentingFinancial ServicesMobile

Open for applications

$177-213k

Salary dependent on location + Company Equity

SQL

AWS

Python

Java

Kafka

Airflow

Cassandra

Terraform

Hadoop

Spark

Snowflake

Kinesis

Hive

RDS

dbt

Mid and Senior level

Remote in US

501-1000 employees

B2BPaymentsRentingFinancial ServicesMobile

Company mission

Flex's mission is to empower as many renters as possible with flexibility over their most significant recurring expense.

Job

Company

Role

Who you are

A minimum of 4 years of industry experience in the data infrastructure/data engineering domain
A minimum of 4 years of experience with Python and SQL. Java experience is a plus
A minimum of 2 years of industry experience using DBT
A minimum of 2 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
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

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
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

Top investors

Few candidates hear
back within 2 weeks

10% employee growth in 12 months

Glassdoor (3.5)

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

Articles

Flex & Zego partner on flexible rent payment options

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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