Job Title : Data Engineer
Location : Chicago, IL – Remote
Position Type : Contract
US Citizen, Green Card, TN, GC EAD and H4 EAD only No Third-party agencies corp to corp.
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.
- Knowledge of programming languages (e.g. Java and Python)
- dvanced 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 certification (e.g IBM Certified Data Engineer) is a plus
- Create and maintain optimal data pipeline architecture
- nalyze and organize raw dat
- ssemble large, complex data sets that meet functional / non-functional business requirements.
- Prepare data for prescriptive and predictive modeling
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Create data tools for analytics and data scientist team members
- Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Collaborate with data scientists and architects on several projects
- 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
