Data Engineer

WellBe Senior Medical is a healthcare organization seeking a Data Engineer to play a pivotal role in collecting, processing, and analyzing large datasets. The role involves collaborating with cross-functional teams to develop data pipelines and ensure data integrity within the warehouse.

Responsibilities:

• 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
• 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
• Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation
• Implement best practices for data governance and ensure data security and compliance

Requirements:

• 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
• 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. Some development experience in at least one scripting language (Python, R, etc.) is a plus
• 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
• Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field
• 5 years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities
• Strong SQL database development, modeling, and querying skills
• Proficiency in using data processing frameworks (e.g., Snowpipe, Fivetran), databases (e.g. Snowflake, MSSQL) and GCP cloud
• Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS Glue 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
• 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