Senior Data Engineer

Outcomes.Com • Dublin, OH

78d

About The Position

The Senior Data Engineer is responsible for modeling complex problems, building pipelines, maintaining ETL processes and troubleshooting issues within a cloud environment. They utilize cloud databases, Databricks and databases to support a robust infrastructure which drives large, revenue generating data strategies. Additionally, the Senior Data Engineer suggests architecture ideas, works closely with architects and assists junior engineers with their tasks/approaches.

Requirements

• Be able to work well with people of various backgrounds and education levels and establish cooperative working relationships with all coworkers.
• Timely and effectively communicate information to and consult with others in order to complete work assignments.
• Act in a responsible, trustworthy and ethical manner that considers the impact and consequences of one's actions or decisions.
• Communicate ideas, thoughts, and facts in writing through the use of proper grammar, spelling, document formatting and sentence structure.
• Identify and respond to current and future clients' needs; provide excellent client service.
• Evaluate and analyze problems or tasks from multiple perspectives; adaptively employ problem solving methods to find creative or novel solutions.
• Complete assigned job tasks in an accurate and timely manner.
• Carefully prepare for meetings and presentations; follow up with others to ensure that agreements, tasks or commitments have been fulfilled.
• Demonstrate commitment to achieving Company's core business objectives of increasing the role of pharmacy and improving patient health in America.

Nice To Haves

• Experience working with healthcare technology.
• Experience resolving issues that do not have clear answers.
• Experience with machine learning and applied statistics.
• Experience with Java and Springboot.
• Thorough experience with Databricks, Glue, Talend, Informatica or other similar ETL tools.
• Experience working in cloud databases (Redshift, BigQuery).
• Highly motivated and possessed excellent interpersonal, problem solving, and technical skills.
• High sense of urgency and accountability.
• Adaptable, friendly, and ability to work with a team.
• Passion for data and digging into the minutia of datasets.
• Take calculated risks based on data-driven analytics.
• A self-starter and enjoys working in a fast-paced environment.

Responsibilities

• Participate in use case feasibility discussions and translate business idea / business problems into use cases.
• Provide support as needed to maintain and update models running in production environment.
• Develop and maintain complex ETL processes and algorithms.
• Own and enhance ETL processes to move data from PMS to cloud databases.
• Monitor and troubleshoot processes on a daily basis.
• Document new and existing processes.
• Proactively and independently identify performance issues and recommend enhancements.
• Modernize legacy data models and pipelines using ETL tools and cloud database capabilities.
• Work closely with Chief Architect to make improvements and larger architectural changes.
• Recommend or suggest improvements to the existing architecture.
• Support junior team members with technical questions, code reviews and code enhancements.
• Understand business problems/needs and provide proposed solutions.

Benefits

• Medical, Dental and Vision Plans
• Voluntary Benefits
• HSA & FSA
• Fertility & Family Planning Benefits
• Paid Parental Leave
• Adoption Assistance Program
• Employee Resource Groups
• Flex PTO for Exempt Associates & up to 15 PTO days in first year of employment for non-exempt associates
• 11 Paid Holidays
• Corporate Wellness Program
• 401k Employer Match & Roth Option Available - immediate eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree