Data Engineer

Hybrid in Chicago, IL, US • Posted 1 day ago • Updated 1 day ago

Full Time

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

data analytics
data engineer
business intelligence
sql
postgresql
aws
python
tableau
alteryx
snowflake

Summary

Data Engineer

Salary: Open + Bonus

Location: Chicago, IL

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

Bachelor s degree
3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst
Ability to write and optimize complex analytical (SELECT) SQL queries
Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)
Strong Experience with data visualization tools - Tableau and/or Alteryx
Experience with Git

Preferred

Experience with transformation/semantic layer frameworks, such as dbt
Familiarity with services on at least one cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake
Familiarity with data modeling design concepts such as 3rd-normal form or denormalization modeling concepts such as star-schema
Exposure to batch orchestration tools such as Apache Airflow, Dagster, or Prefect
Understanding of applied statistics and hands-on experience applying these concepts

Responsibilities

Design and maintain analytical solutions drawing from both raw and semantic data layers
Partner with business units to gather requirements and develop targeted analytics solutions
Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development
Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence
Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility
Identify and distribute data and analytics best practices across the team
Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability
Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: napil006
Position Id: 8911565
Posted 1 day ago

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