Note: The job is a remote job and is open to candidates in USA. 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 collaboration 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
Skills
- 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
- 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, or AWS Glue required
- Experience building pipelines in Azure Data Factory required
- Experience building API data ingestion pipeline using Python in cloud service required
- Snowflake data processing with Tasks and Procedures, DBT and GIT experience required
- Experience with CI/CD Terraform or DevOps 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
- Fluency in SQL, DBT and Snowflake
- Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications
- Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability
- Experience implementing best practices for data governance and ensuring data security and compliance
- 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
- Strong sense of ownership, bias for action, and drive
- Excellent analytical and problem-solving skills
- Strong verbal and written communication
- Strong work ethic and attention to detail
- 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
Benefits
- Remote
- Travel may be required up to 15% locally or nationally
- As a condition of employment, WellBe Senior Medical requires all candidates to successfully complete a pre-employment drug screening.
- Ongoing employment may also be contingent upon compliance with the company’s Drug-Free Workplace Policy, which includes random, post-accident, and reasonable suspicion drug testing.
- Employment is contingent upon successful completion of a background check, as permitted by law.
- As a healthcare organization, WellBe conducts monthly FACIS (Fraud and Abuse Control Information System) checks on all employees.
- Continued employment is contingent upon satisfactory results of these checks, in accordance with applicable laws and regulations.
- Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
- If you require an accommodation during the application, interview or employment process, please contact Human Resources at HRPeopleLine@wellbe.com
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