Senior Data Engineer

WellBe Senior Medical is seeking a Senior Data Engineer who will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. The role involves collaborating with cross-functional teams to develop data pipelines, create interactive dashboards, and implement analytical solutions while supervising a team of data professionals.

Responsibilities:

• Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team’s work
• Collaborate with senior management to define and execute the company's data pipeline strategy, aligning it with business objectives and ensuring data governance principles are followed
• Design and develop ELT pipelines and transformations for publication of scalable warehouse integrations to be used for higher level analytics
• Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations
• Develop and implement data models to support analytical solutions, ensuring scalability, efficiency, and accuracy
• Work closely with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions. Collaborate with the engineering team to integrate analytical solutions into production systems
• Monitor usage and performance of warehouse resources and implement creative solutions for improving performance and reducing costs of said resources
• Stay updated with the latest technologies and trends in data analytics and engineering

Requirements:

• Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field
• 7+ years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities
• Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS Glue required
• Experience with CI/CD Terraform or DevOps required
• Snowflake data processing with Tasks and Procedures, DBT and GIT experience required
• Experience building API data ingestion pipeline using Python in cloud service required
• Strong leadership and team management skills, with the ability to motivate and develop team members
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments
• Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability
• Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities
• Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization
• Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation
• Lead and mentor a team of data professionals, providing guidance, performance evaluations, and professional development opportunities
• Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation
• Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications
• Implement best practices for data governance and ensure data security and compliance
• Fluency in SQL, DBT and Snowflake
• Strong sense of ownership, bias for action, and drive
• Strong verbal and written communication
• Excellent analytical and problem-solving skills
• Strong work ethic and attention to detail
• Ability to stand/sit for extended periods
• Visual acuity and fine motor skills
• Ability to travel as needed
• Master's degree preferred
• 3 years of experience in health care and health plan data analysis experience preferred
• Knowledge of machine learning concepts and algorithms is a plus
• Some development experience in at least one scripting language (Python, R, etc.) is a plus