Data Engineer

HealthFirst•Hybrid - NY, NY

1d•$99,100 - $156,485

About The Position

The Data Engineer is responsible for data acquisition strategies and integration, scripting and tools, data migrations, conversions, purging, and backups. The role works with product, financial control, analysts, users, and other stakeholders to understand business requirements and support data architecture for building data acquisition strategies. The Data Engineer authors artifacts defining standards and definitions for storing, processing, and moving data, including related processes and business rules, and maps those artifacts to business processes, non-functional characteristics, QA criteria, and technical enablement. The role considers business needs to support efficient and error-free processes. The Data Engineer develops and maintains data architectures and workflows, ensures data quality and security across Healthfirst environments, supports analytics and modeling, and identifies opportunities to improve data reliability, efficiency, and quality. The position also contributes to aligning data architecture with business requirements and Healthfirst’s solution architecture.

Requirements

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

Nice To Haves

Bachelor’s Degree in computer engineering or a related field.
Hands-on experience leading healthcare data transformation initiatives from on-premise to cloud deployment.
Demonstrated experience working in an Agile environment as a Data Engineer.
Hands-on experience 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 and 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.
Critical thinking and problem-solving skills.
Excellent interpersonal skills and proven ability to influence across functions and disciplines.
Proficiency with Microsoft Office, including Project, PowerPoint, Word, Excel, and Visio.

Responsibilities

Find trends in datasets and develop workflows and algorithms to make raw data useful to the enterprise.
Design and implement standardized data management procedures for data staging, ingestion, preparation, provisioning, and destruction, using scripts, programs, automation, or assisted automation.
Ensure the quality of technical solutions as data moves across Healthfirst environments.
Provide insight into changes in the data environment, data processing, data storage, and company utilization requirements, and offer suggestions for solutions.
Create and verify data acquisition requirements and strategies to ensure managed analytic assets support Healthfirst’s strategic goals.
Develop, construct, test, and maintain architectures.
Align architecture with business requirements and use programming languages and tools.
Identify ways to improve data reliability, efficiency, and quality.
Conduct research to address industry and business questions.
Deploy analytics programs, machine learning, and statistical methods.
Prepare data for predictive and prescriptive modeling and use data to find hidden patterns.
Use data to discover tasks that can be automated.
Create data monitoring capabilities for each business process and work with data consumers on updates.
Align data architecture with Healthfirst solution architecture and contribute to overall solution architecture.
Help maintain the integrity and security of company data.
Perform additional duties as assigned or required.