Senior Data Engineer - Data Infrastructure

Employment Type: [Not Specified] Location Type: Remote Salary:

• NY/NJ/CA: $197,000 - $213,000
• All Other States: $177,000 - $192,000 (Compensation is commensurate with experience and internal leveling guidelines.)

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Position Overview

Flex is a growth-stage FinTech company headquartered in NYC, dedicated to revolutionizing the rent payment experience. We aim to empower renters by providing flexibility over their rent payments, allowing them to pay throughout the month on a schedule that fits their financial needs. Our mission is to make rent payment flexible, affordable, and easy.

The Data Infrastructure team at Flex Engineering is seeking senior engineers to build and scale our modern data platform, supporting current and future financial products. We utilize a cutting-edge, forward-thinking approach to empower all facets of the business with Machine Learning and Business Intelligence. Our work directly influences Flex's growth and strategic direction, driven by a culture of data-driven decision-making that demands timely, accurate, and actionable data.

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Responsibilities

• Design, implement, and maintain high-quality data infrastructure services, including 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.
• Collaborate closely 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.

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Requirements

• A minimum of 6 years of industry experience in data infrastructure/data engineering.
• A minimum of 6 years of experience with Python and SQL.
• A minimum of 3 years of industry experience using DBT.
• A minimum of 3 years of industry experience using Snowflake and its basic features.
• A minimum of 3 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.
• Java experience is a plus.

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Core Competencies

• 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.

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Company Information

Flex is a growth-stage, NYC headquartered FinTech company creating the best rent payment experience. We are empowering renters with flexibility over their rent payments. After a deliberate stealth period, we are now seeking motivated individuals to join our mission.

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.

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