Lead Data Engineer
P2376
Posted on 2/21/2023
INACTIVE
84.51 Degrees

1,001-5,000 employees

Retail data science company enhancing customer experiences
Company Overview
84.51° stands out as a leading retail data science company, utilizing advanced data science and predictive analytics to create personalized experiences for shoppers, thereby providing a competitive edge to its clients. The company's unique strength lies in its access to first-party retail data from nearly half of US households and over 2 billion transactions, which enables a more customer-centric approach. With its specialized services like 84.51° Insights, 84.51° Loyalty Marketing, and Kroger Precision Marketing, 84.51° helps brands effectively engage customers at every point of their purchasing journey.
Consumer Goods
Data & Analytics

Company Stage

N/A

Total Funding

$5.5M

Founded

2015

Headquarters

Cincinnati, Ohio

Growth & Insights
Headcount

6 month growth

1%

1 year growth

7%

2 year growth

24%
Locations
Northbrook, IL, USA • Remote • Chicago, IL, USA • Portland, OR...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Agile
Python
Airflow
Apache Spark
SQL
Java
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • 5+ years proven ability of professional data development experience
  • 5+ years proven ability of developing with HDFS/RDBS/Cloud Database Technologies
  • 3+ years developing experience with SQL and either Java or Python
  • 3+ years experience with PySpark/Spark
  • 3+ years experience with Data Automation - e.g. Airflow, Azure Data Factory
  • Data quality and testing best practices
  • Full understanding of ETL concepts
  • Strong understanding of CI/CD methodology
  • Understanding of Object-Oriented and SOLID principles
  • Strong understanding of Agile Principles
Responsibilities
  • Lead the design of and develop Cloud and Data based solutions (Databricks, Snowflake, etc.)
  • Perform unit and integration testing
  • Participate in implementation of BI visualizations
  • Collaborate with architecture and lead engineers to ensure consistent development practices
  • Provide mentoring to junior engineers
  • Participate in retrospective reviews
  • Participate in the estimation process for new work and releases
  • Collaborate with other engineers to solve and bring new perspectives to complex problems
  • Drive improvements in people, practices, and procedures
  • Embrace new technologies and an ever-changing environment
Desired Qualifications
  • New Technical Product Development
  • Cloud Engineering Experience (Azure)
  • Databricks
  • Snowflake
  • Terraform
  • Exposure to API development
  • Exposure to Service Oriented Architecture
  • Proficient with relational data modeling and/or data mesh principles