Senior Data Engineer

Chicago Permanent USD15,000 - USD180,000
  • Remote Opportunity!
  • Great Growth Potential

About Our Client

Our Client is the leading path to college solution for youth athletes, connecting athletes to colleges and college coaches to help them fulfill their dreams as an athlete.

Job Description

  • Aritculate domain-driven design methodology for data modeling, data engineering, event-based ELT, and resilient infrastructure to provide engineering teams with autonomy, adaptability and scale
  • Define the architecture and design for our distributed data stores, using a cloud-native environment, automated data pipelines and governance for data quality and regulatory compliance
  • Design, develop and maintain automated data pipelines
  • Forecast data utilization and identify potential bottlenecks or optimization opportunities
  • Apply test-driven development methods to data platform configuration and deployment
  • Work with Software Engineering teams to adopt standard data platform components for their systems
  • Partner with Analysts, Data Scientists and Data Program Managers to apply, implement and productionalize descriptive, predictive, and prescriptive statistical models on large datasets
  • Define data operations approach and operating methodology for versioning, testing, security, test data management, data migrations, data quality, metadata, and documentation

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

The Successful Applicant

  • 4+ Tears experience in Data Engineering and/or Software Engineering
  • Deep Expertise in Python
  • Exprience using SQL, R, AWS, Airflow
  • Experience developnig data pipelines with ELT design
  • Familiarity with relational databases and non relational data stores
  • Expertise in building capabiklities with architechture, modeling, data quality and governance, storage, resiliencem security, and replication

What's on Offer

  • Remote Opportunity
  • Generous Benefits Package
  • Opportunity to work for a mission driven organization
Valerie Monsen
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Job summary

Information Technology
Sub Sector
IT Development
Leisure, Travel & Tourism
Contract Type
Consultant name
Valerie Monsen
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