Lead Data Engineer (Snowflake, DBT, Pandas)- R
Lead Data Engineer (Snowflake, DBT, Pandas)- R
Posted on :
28-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital renowned for its world-class professionals referred to as Brillians distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary groundbreaking technologies and exclusive digital projects. Brillios relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year.
Consultant
Primary Skills
- Snowflake DBT Pandas. Salesforce Health Cloud-Health Cloud Setup Salesforce Health Cloud-Care Program (Patient Services) Salesforce Health Cloud-Care Management Salesforce Health Cloud-Providers
Job requirements
- AS#01
Job Title: Senior Data Engineer Snowflake to Health Cloud Integration
We are seeking a seasoned Senior Data Engineer to lead the integration of Snowflake with Salesforce Health Cloud enabling scalable real-time data exchange and analytics across healthcare platforms. This role is pivotal in building robust data pipelines modeling healthcare data and ensuring seamless ETL processes that support clinical operational and reporting needs.
Key Responsibilities
Architect and implement ETL/ELT pipelines to ingest and transform data from Snowflake to SFDC Health Cloud.
Design and maintain data models that support payer and provider analytics including Portico Excelys and Amisys structures
Leverage DBT for transformation workflows and documentation of data lineage.
Design and implement Snowflake clusters using Terraform
Use Pandas and Python for data wrangling preprocessing and validation.
Collaborate with cross-functional teams to align integration efforts with business goals including real-time sync and batch processing
Ensure data quality governance and compliance with healthcare regulations.
Monitor pipeline performance and troubleshoot issues across environments.
Contribute to platform scalability and observability using tools like MuleSoft Informatica and Salesforce APIs
Required Qualifications
5 years of experience in data engineering preferably in healthcare or CRM integrations.
Hands-on experience with Snowflake DBT and Pandas.
Strong SQL and Python skills.
Experience with Salesforce Health Cloud data structures and APIs.
Familiarity with the Health Care Industry HIPAA and PII data management
Familiarity with integration platforms such as MuleSoft Informatica or custom Snowflake connectors
Experience with Master Data Management solutions and Data Management concepts. Entity resolution splits merges data lineage
Understanding of healthcare data domains including eligibility claims care plans and provider networks
Excellent problem-solving and communication skills.
Preferred Qualifications
Deep SQL stored procedure and materialized view experience.
Knowledge of real-time data sync identity resolution and multi-object updates in Salesforce
Background in business process consulting or enterprise data strategy.
$75 - $80 an hour
Know what its like to work and grow at Brillio: Click here
Employment Type
Hourly
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
