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Lead Data Engineer


Smartrr


New York City, NY, US

  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Fintech
  • Post Date: 05/13/2024
  • Website: smartrr.com
  • Company Address: 145 W 28th St, Floor 4, New York, New York 10001, US
  • Salary Range: $50,000 - $150,000

About Smartrr

Subscription and customer lifecycle management for direct-to-consumer brands

Job Description

Smartrr is the Subscription platform built specifically for growing Shopify brands. With tailored subscription offering, integrated loyalty rewards, a beautifully branded subscriber account experience and proactively delivered data & insights, Smartrr helps brands build and leverage their brand loyalty into predictable, recurring revenue. We are looking for candidates that have a bias for action, take ownership of their work and results, thrive in an environment that moves fast, and are passionate about building in the ecommerce space. If that sounds like you, we’d love to talk!

 

Smartrr seeks an exceptional Data Engineering Lead to join our dynamic e-commerce startup. As the Data Engineering Lead, you will be pivotal in driving our data infrastructure and enabling data-driven decision-making across the organization.

 

Responsibilities:

  • Design, build, and maintain scalable and reliable data pipelines and infrastructure using BigQuery, Airflow, and other relevant technologies

  • Collaborate with cross-functional teams to understand data requirements and deliver actionable insights through data models, dashboards, and reports

  • Develop and optimize ETL processes to ensure data quality, consistency, and timely availability

  • Implement and maintain data security and privacy measures to protect sensitive information

  • Foster a culture of continuous learning, collaboration, and ownership

  • Actively contribute to the technical roadmap and architecture decisions, considering scalability, performance, and maintainability

  • Partner with stakeholders to evangelize data-driven decision-making and promote data literacy across the organization

  • Stay up-to-date with industry trends and emerging technologies to drive innovation and best practices in data engineering

Requirements:

  • 5+ years of experience in data engineering or a related field, with a proven track record of building and managing large-scale data infrastructures

  • Strong proficiency in SQL and experience working with BigQuery or similar data warehousing technologies

  • Expertise in data orchestration and workflow management using Airflow or similar tools

  • Experience with data visualization and business intelligence tools, preferably Looker

  • Solid programming skills in Node.js/JavaScript and Python for data processing and automation tasks

  • Familiarity with cloud platforms (e.g., Google Cloud, AWS) and their data services

  • Experience with data modeling, data warehousing, and data lake architectures

  • Strong problem-solving skills and the ability to independently drive projects from conception to completion

  • Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders

  • Passion for leveraging data to drive business growth and improve customer experiences

Benefits

  • Competitive salary 

  • Company stock options

  • Medical, vision, and dental health plans

  • 401k plan (with a match!) and commuter benefits

  • Perks: Matched 401k, commuter benefits, One Medical membership, team outings, and more!

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