Data Engineer

Healthfirst is seeking a Data Engineer to manage data acquisition strategies and integration. The role involves collaborating with various stakeholders to define standards for data storage and processing while ensuring data quality and reliability.

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 (scripts, programs, automation, assisted by automation, etc.)
• 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 for the company and offer suggestions for solutions
• 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
• Additional duties as assigned or required

Requirements:

• Work experience in a data engineering
• 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
• 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, and break them down into engineered code components
• 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