Data Engineer

Duties and Responsibilities

• Finds trends in datasets and develops workflows and algorithms to make raw data useful to the enterprise
• Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
• Ensures quality of technical solutions as data moves across Healthfirst environments
• Provides insight into the changing data environment, data processing, data storage and utilization requirements
• Ensures managed analytic assets support Healthfirst's strategic goals by creating and verifying data acquisition requirements and strategy
• Develops, constructs, tests and maintains architectures
• Aligns architecture with business requirements and uses programming language and tools
• Identifies ways to improve data reliability, efficiency, and quality
• Conducts research for industry and business questions
• Deploys sophisticated analytics programs, machine learning and statistical methods
• Prepares data for predictive and prescriptive modeling and finds hidden patterns using data
• Uses data to discover tasks that can be automated
• Creates data monitoring capabilities for each business process and works with data consumers on updates
• Aligns data architecture to Healthfirst solution architecture; contributes to overall solution architecture
• Helps maintain the integrity and security of the company data

Minimum Qualifications

• Work experience in a data engineering
• Work experience with healthcare claims data
• Work experience with Alteryx
• Work experience in data programing languages such as Java or Python
• Work experience in a Big Data ecosystem processing data including file systems, data structures/databases, automation, security, messaging, movement, etc.
• Work experience in a production cloud infrastructure
• High School Diploma or GED from an accredited institution

Preferred Qualifications

• Bachelor's Degree in computer engineering or related field
• Hands on experience in leading healthcare data transformation initiatives from on-premise to cloud deployment
• Demonstrated experience working in an Agile environment as a Data Engineer
• Hands on work with Amazon Web Services, including creating Redshift data structures, accessing them with Spectrum and storing data in S3
• Proven results using an analytical perspective to identify engineering patterns within complex strategies and ideas
• Knowledge of provider-sponsored health insurance systems/processes and the Healthcare industry
• Experience developing, prototyping, and testing engineered processes, products, or services
• Proficiency with relational, graph and noSQL databases; expertise in SQL
• Demonstrates critical thinking skills with ability to problem solve
• Excellent interpersonal skills with proven ability to influence with impact across functions and disciplines
• Skilled in Microsoft Office including Project, PowerPoint, Word, Excel and Visio