Data Engineer
Customer Success
Posted on 3/1/2023
INACTIVE
Square

10,001+ employees

Digital payment processor
Company Overview
Square's mission is to ensure that all businesses are able to participate and thrive in the economy. The company is building infrastrucutre for online payments.
Consulting
Energy
Social Impact
Financial Services
Consumer Goods

Company Stage

N/A

Total Funding

$601.2M

Founded

2009

Headquarters

Oakland, California

Growth & Insights
Headcount

6 month growth

1%

1 year growth

12%

2 year growth

17%
Locations
California, USA • Remote in USA • Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
Python
MySQL
Data Science
Git
Data Structures & Algorithms
SQL
Tableau
Linux/Unix
Looker
Data Analysis
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • 2+ years of analytical experience in data engineering, data science, or product / BI analytics
  • Bachelor's degree required, with major in analytical or technical field strongly preferred
  • Strong technical intuition and ability to understand complex business systems
  • Knowledge in data modeling concepts and implementation
  • Strong technical accomplishments in SQL, ETLs and data analysis skills
  • MySQL, Snowflake, Redshift, or similar data handling experience
  • Hands on experience in processing extremely large data sets
  • Experience with Linux/OSX command line, version control software (git), and general software development
  • Strong experience in visualization technologies including Looker, Tableau, or others
Responsibilities
  • Partner with functional leads to understand their data and reporting requirements, and translating them into definitions and technical specifications (PRD)
  • Be responsible for defining, developing and optimizing curated datasets and schemas with standardized metrics and definitions across the the organization
  • Be responsible for the data migration to new platforms and tools
  • Develop, deploy, maintain, and optimize data models, pipelines, ETL jobs and visualizations
  • Provide comprehensive day-to-day analytics support to partner teams, develop tools and resources to empower data access and self-service so your expertise can be leveraged
  • Model data in Looker or similar visualization tools, to empower data access and self-service resources so your expertise can be leveraged where it is most impactful
  • Work closely with technical partners in the data platform engineering team on designing and developing robust data structures and highly reliable data pipelines
  • Troubleshoot technical issues with platforms, performance, data discrepancies, alerts etc
  • Perform ad hoc analysis, insight requests, and data extractions to resolve critical business and infrastructure issues
Desired Qualifications
  • Familiarity with scripting/programming for data mining and modeling is a plus
  • Work experience with Python and Databricks is a plus