Job Information
Healthfirst Data Engineer in Remote, Texas
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 (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 Healthfirsts 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
Minimum Qualification:
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
Preferred Qualifications:
Bachelors Degree in computer science, 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
Knowledge of SQL, relational, and NoSQL databases.
Experience developing, prototyping, and testing engineered processes, products, or services
Experience in healthcare data transformation initiatives.
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
Compliance and Regulatory Responsibilities: N/A
License/Certification: N/A
WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, gender identity, sexual orientation, national origin, age, genetic information, military or veteran status, marital status, mental or physical disability or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
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