Sr. ETL / Data Engineer
Title: Sr. Data Engineer
Duration: Full-time Permanent
Location: Chicago, IL
Currently Remote - Must be willing to come on-site at least 3 days a week after COVID
Job Description:
Our healthcare client is looking for a Senior Data Engineer to join their new team. You will work within the data and the analytics team and partner with multiple businesses and internal engineering teams to build high-quality data pipelines. You will be responsible to integrate data from a variety of data sources utilizing cloud-based data structures (AWS) and determine/enhance existing data sources between internal and external stakeholders.
Your day to day:
• Develop efficient, high throughput data pipelines to push transactional data to the cloud
• Deliver insights to the business to achieve their goals by solving complex data problems
• Implement, develop, and optimize streaming, data lake, and analytics big data solutions
• Create a culture of sharing, re-use, design for scale stability and operational efficiency of data and analytical solutions
• Implement and recommend the best tools to ensure optimized data performance
• Build computation frameworks to get analytical insights from cloud-based data stores
• Define and implement the data life cycle per compliance requirements
• Work with product managers and data scientists to understand the objectives of the data platform
• Create data products for analytics and engineering team members to improve their productivity
• Coach, consult, and advise professionals on data standards and practices
Your qualifications:
• Bachelor’s degree in computer science or related field.
• Minimum of five (5) years of application development and implementation experience.
• Experience with SQL, Big Data, ETL programming and development within
• Experience with Tableau, Power BI, or Google Data Studio
• Experience with cloud-based structures (AWS)
All your information will be kept confidential according to EEO guidelines.