What are the responsibilities and job description for the Senior Data Engineer position at Outcomes®?
Description
JOB SUMMARY
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.
Essential Duties And Responsibilities
KNOWLEDGE & REQUIREMENTS
Required Qualifications
JOB SUMMARY
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.
Essential Duties And 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.
KNOWLEDGE & REQUIREMENTS
Required Qualifications
- 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; use logical, systematic and sequential processes to solve problems.
- 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.
- 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
- Minimum years of work experience: 7 years
- 6 years of data analysis experience
- Expertise in algorithm design, machine learning, and applied statistics
- Proven track record in use of SQL specifically in cloud databases and working with data including extracting information, validating data, creating and maintaining custom data structures
- Minimum level of education or education/experience: Bachelors Degree in
- Bachelor’s degree in Business, Computer Science, Information Systems or equivalent combination of education and experience.
- Experience resolving issues that do not have clear answers.
- Excellent attendance
- The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
- Frequent sitting in stationary position at a desk
- Occasional standing, walking, stooping, kneeling, squatting, and climbing stairs
- Occasional twisting of body
- Occasional reaching by extending hands and arms in any direction
- Occasional lifting, pulling, or pushing
- 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
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