Senior Data Engineer
Wellbe Senior Medical•Remote,
•$105,000 - $150,000•Remote
About The Position
As a Senior Data Engineer at WellBe, you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross-functional teams, including data scientists and business analysts, to develop data pipelines, create interactive dashboards, and implement analytical solutions. This position requires a blend of technical expertise, creativity, and a keen understanding of business processes. You will supervise a team of Data Engineers, Data Integration Specialists and Data Analysts to build scalable, robust analytics systems to solve complex healthcare challenges.
Requirements
- Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field. Master's degree preferred.
- 7+ years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities.
- 3 years of experience in health care and health plan data analysis experience preferred.
- 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.
- 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.
- Knowledge of machine learning concepts and algorithms is a plus.
- 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.
- Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications.
- 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.
Nice To Haves
- Master's degree 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.
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.
- 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.
- Implement best practices for data governance and ensure data security and compliance.
Benefits
- Compensation for this position will be disclosed in accordance with applicable state and local pay transparency laws.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
