Senior Data Engineer

Health First

Full-time - Mid Level

Ambulatory Health Care Services

About the position

The Senior Data Engineer at Healthfirst is responsible for designing and implementing standardized data management procedures, ensuring the quality of technical solutions, and providing insights into the evolving data environment. This role involves developing and maintaining data architectures, improving data reliability and efficiency, and deploying advanced analytics programs. The position requires collaboration with data consumers and alignment of data architecture with business requirements to support the company's strategic goals.

Responsibilities

• Designs and implements standardized data management procedures around data staging, ingestion, preparation, provisioning, and destruction.
• Ensures quality of technical solutions as data moves across multiple zones and environments.
• Provides insight into the changing data environment and offers suggestions for solutions.
• Ensures managed analytic assets support the company's strategic goals by creating and verifying data acquisition requirements and strategy.
• Develops, constructs, tests, and maintains data architectures.
• Aligns architecture with business requirements using programming languages 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 to implement solutions efficiently.
• 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 the solution architecture and contributes to overall solution architecture.
• Develops patterns for standardizing the environment technology stack.
• Helps maintain the integrity and security of company data.
• Performs additional duties as assigned or required.

Requirements

• Work experience in data engineering requiring advanced data management strategies.
• Demonstrated expertise in data programming languages (i.e., Java, Python or PySpark).
• Work experience in a Big Data ecosystem processing data including file systems, data structures/databases, automation, security, messaging, and movement.
• Work experience in a production cloud infrastructure.
• Proven track record of success directing the efforts of data engineers and data analysts, including coaching and mentoring.

Nice-to-haves

• 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 AWS, including creating Redshift data structures and accessing them with Spectrum.
• Knowledge of SQL and multiple programming languages to optimize data processes and retrieval.
• Experience developing, prototyping, and testing engineered processes, products, or services.
• Proficiency with relational, graph, and NoSQL databases.
• Excellent interpersonal skills with proven ability to influence across functions and disciplines.