Sr. Data Engineer- Chicago, Il Or Denver, Co- Onsite 4 X Week

FreeWheel

Chicago, IL, US
Base: $122,299.12 - $183,448.68 (chicago); $118,13...
Apache spark
Aws data lake architectures
Sql and python/scala
Architect, design, and develop high-performance, scalable data pipelines using modern frameworks

Job Summary

  • Architect, design, and develop high-performance, scalable data pipelines using modern frameworks.
  • Define and implement data lake architectures and open table formats, establishing best practices for data quality and integrity.
  • Drive observability and monitoring for data pipelines, implementing data catalogs and lineage tracking.

Matching Summary

Architect, design, and develop high-performance, scalable data pipelines using modern frameworks.

Salary

Base: $122,299.12 - $183,448.68 (Chicago); $118,139.40 - $185,647.63 (Denver); Bonus/Equity: Not specified; Benefits: Best-in-class Benefits

Skills & Requirements

Must-have

  • Apache Spark
  • AWS data lake architectures
  • SQL and Python/Scala
  • Delta Lake/Iceberg
  • DBT and Databricks Delta Live Tables

Nice-to-have

  • Problem solver
  • Data platform enthusiast
  • Thrives in fast-paced environments
  • Looker or similar BI Modeling tool

Key Requirements

  • 4+ years of experience in Data Engineering
  • Proficient in Python, Scala, Java, or GoLang
  • Ability to craft complex SQLs
  • Hands-on experience in Spark and/or Snowflake
  • Firm grasp on Lakehouse and Warehouse concepts
  • Firm grasp on Data Warehouse modeling paradigms
  • Understanding of Cloud based architectures
  • Bachelor's Degree or equivalent experience
  • 7-10 Years Relevant Work Experience

Work Rights

Not specified

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