Remote Data & Analytics Engineer

Foot Locker, Inc.

United States

On-site

USD 100,000 - 105,000

Full time

8 days ago
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Benefits offered by this job

Employee Discount
Paid Time Off
Medical Coverage
401(k) | Roth 401(k)
Stock Purchase Plan
Life Insurance
Tuition Reimbursement for Qualified

Job summary

Foot Locker, Inc. is seeking a data & analytics engineer for a 100% remote role based in the United States. You will build enterprise data and BI solutions, design ETL/ELT pipelines, and create Power BI dashboards to support multiple teams and business lines of Foot Locker.

Ideal candidates bring 3+ years in data/analytics engineering, strong SQL, Python/Scala familiarity, and hands-on experience with Databricks, Snowflake, and cloud platforms like Azure.

Qualifications

  • Bachelors degree in Computer Science or related field.
  • 3+ years of engineering experience in a Data & Analytics function.
  • Strong ETL and BI skills with Power BI.
  • Experience with Databricks or Snowflake is a plus.

Responsibilities

  • Build new Data and Analytics products to support Foot Locker initiatives.
  • Grow Data Catalog by ingesting internal and third-party data sources.
  • Support assigned PODs in Data & Analytics engineering with minimal supervision.
  • Define data standards to enable efficient decision making.
  • Design, engineer and implement ETL solutions and fix issues.

Skills

ETL Tools
Power BI
SQL
Python
Scala
Databricks
Snowflake
Azure
Data Warehousing

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks
Snowflake

Job description

Foot Locker, Inc. is seeking a data & analytics engineer for a 100% remote role based in the United States. You will build enterprise data and BI solutions, design ETL/ELT pipelines, and create Power BI dashboards to support multiple teams and business lines of Foot Locker.

Ideal candidates bring 3+ years in data/analytics engineering, strong SQL, Python/Scala familiarity, and hands-on experience with Databricks, Snowflake, and cloud platforms like Azure.

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