Flex Logo

Flex

Senior Data Engineer, Growth

Reposted 10 Days Ago
Easy Apply
Remote
Hiring Remotely in U.S.
177K-213K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in U.S.
177K-213K Annually
Senior level
Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.
The summary above was generated by AI

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

Flex Engineering is seeking senior data engineers to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role. you will be instrumental in developing and scaling the data platform that empower our users and partners, unlocking our next phase of 10x growth.

What You’ll Do

  • Design, implement, and maintain high-quality data pipeline 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.
  • Closely collaborate with the Data science team to build the data set for the ML model.
  • 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.
  • Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
  • 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


Life at Flex:

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

We offer many employee benefits & perks. For full-time U.S based positions we offer:

  • Competitive medical, dental, and vision available from Day 1
  • Company equity
  • 401(k) plan with company match (our company match kicks off at the beginning of 2026)
  • Unlimited paid time off + 13 company paid holidays
  • Parental leave 
  • Flex Cares Program
  • Free Flex subscription

 For full time non-US employees, we offer

  • Competitive compensation + company equity
  • Unlimited PTO

Top Skills

Airflow
AWS
Cassandra
Dbt
Hadoop
Hive
Java
Kafka
Python
Snowflake
Spark
SQL

Similar Jobs

Yesterday
Remote or Hybrid
3 Locations
102K-171K Annually
Senior level
102K-171K Annually
Senior level
eCommerce • Information Technology • Retail • Industrial
As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data products, and collaborate across teams to deliver insights.
Top Skills: SparkAws GlueCloudFormationDockerGithub ActionsKafkaKubernetesPostgresPythonSap S/4HanaScalaSnowflakeSQLTerraform
4 Days Ago
Easy Apply
Remote or Hybrid
6 Locations
Easy Apply
155K-220K Annually
Senior level
155K-220K Annually
Senior level
Fintech • HR Tech
The Senior Data Engineer will build scalable data systems, optimize data workflows, and collaborate with teams to enhance data-driven decisions.
Top Skills: BigQueryDatabricksDbtPythonRedshiftSnowflakeSQL
23 Days Ago
Easy Apply
Remote
United States
Easy Apply
150K-185K Annually
Senior level
150K-185K Annually
Senior level
Fintech • HR Tech • Financial Services
As a Senior Data Engineer, you'll design and maintain data pipelines, develop data models, and optimize data infrastructure on AWS while collaborating with product and engineering teams.
Top Skills: AWSCloudFormationDockerEcsGlueKubernetesLambdaMatillionPostgresPythonS3SnowflakeSQLTerraformTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account