Senior Data Engineer

• 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, 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. • 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.

• Ability to stand/sit for extended periods.• Visual acuity and fine motor skills.• Ability to travel as needed.

Work Environment• Remote• Travel may be required up to 15% locally or nationally

Pay Transparency

$105,000 - $150,000 based on experience

Sponsorship StatementWellBe does not offer employment-based visa sponsorship for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Pay Transparency StatementCompensation for this position will be disclosed in accordance with applicable state and local pay transparency laws.

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. The company reserves the right to test for substances that may impair an employee’s ability to safely and effectively perform their job duties.

Background Check StatementEmployment 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.

Equal Employment Opportunity (EEO) StatementWellBe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected status.

Americans with Disabilities ActWellBe Senior Medical is committed to complying with the Americans with Disabilities Act (ADA) and applicable state and local laws. 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

At-Will Employment StatementEmployment with WellBe is at-will unless otherwise specified by contract. This job description does not constitute an employment contract.

DisclaimerThis job description is intended to describe the general nature and level of work performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary

Originally posted on Himalayas

• 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.
• Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language (Python, R, etc.) is a plus. • 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.