Data Engineer
Location: Chicago, IL Remote
Duration: 12+ months
Rate: DOE
U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.
Job Description
5+ years of experience in a Data Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
Very good knowledge in:
- SQL (7+ out of 10)
- PySpark
- Databricks on Azure (7+ out of 10)
- SparkSQL (7+ out of 10)
- Azure/ADLS (7+ out of 10)
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Great numerical and analytical skills
Data engineering certifications/Azure is a plus
Create and maintain optimal data pipeline architecture
Analyze and organize raw data
Write pseudo code
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience supporting and working with cross-functional teams in a dynamic environment.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
Data Engineer - Remote in Remote at Unknown Company
This position is listed as full time and able to be worked remotely.