Data Analytics Engineer
Remote
Applications have closed
FloatMe
Meet your new BFF that’s helped our members save over $50M in overdraft fees with instant cash advances up to $50 between paydays. No credit checks. No interest.About the Role
Coedme shape the future of FloatMe! As our Data Analytics Engineer, you will help define the experiences we build to guide the 150M Americans living paycheck to paycheck on their path to financial resilience. In this role, you’ll continue to improve the foundation for a trusted and performant data platform that enables the entire company to make rapid data-driven decisions and ship scalable data-driven features.
What You’ll Do
Maintain and improve our data pipelines and warehouse to ensure our internal stakeholders have timely access to accurate data. Our current stack uses Python, SQL, DBT, Thoughtspot, Snowflake and more.
You will own our integrations with multiple data providers such as Twilio, Iterable, App Store, among others via APIs.
Write, configure, deploy, and maintain the tools needed to deliver accurate and clean data, rapidly.
Partner with Product Analytics to understand our current use cases and in tandem create, maintain and debug data models and reports.
Build and maintain consistent data models that act as the source of truth for all metrics within the company.
Build and share a deep understanding of our chosen languages, frameworks, and other areas of focus. Continuously pushing yourself and the team to be continuously learning, growing and implementing best practices.
Demonstrate ownership for your work including understanding requirements, crafting solutions, and building robust testing plans to ensure the highest data quality.
Who You Are
Thoughtful. You guide teams using data and insights and are constantly deploying the best solutions.
Driven by ownership. You are maniacal about improving and maintaining our data pipelines to ensure we are able to rapidly pull insights for all stakeholders.
Product’s best friend. Your insights ensure teams both understand and bring value to their users.
Requirements
5+ years’ of overall data engineering work experience
Familiarity and hands on experience with Kinesis Streams
Extensive experience with DBT jobs and optimization
Experience managing multiple data sets via APIs
Experience with utilizing Terraform
Experience writing in Python
Must have ETL experience with Appflow, Dynamodb, Postgres and Snowflake
Exceptional analytical, organizational, interpersonal, and communication (both oral and written) skills
Self-motivated, driven, resourceful, and able to get things done
Nice to Have:
Previous BI reporting experience
Benefits
Health insurance
Dental & Vision
Long-term disability
401(k) with standard & Roth options
Team outings (lunches, happy hours, games, and more)
Opportunities for growth and professional development
Unlimited PTO
Sick Leave & Personal Days
Tags: APIs Data Analytics Data pipelines Data quality dbt DynamoDB Engineering ETL Kinesis Pipelines PostgreSQL Python Snowflake SQL Terraform Testing
Perks/benefits: Career development Equity Health care Insurance Team events Unlimited paid time off
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