Lead Data Engineer – Snowflake, SQL & ETLCitiusTech • Portland, Oregon, United States
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Lead Data Engineer – Snowflake, SQL & ETL
CitiusTech
- Portland, Oregon, United States
- Portland, Oregon, United States
Über
At
CitiusTech , we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners.
Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives.
What is in it for you? We are seeking an experienced
Data Engineer
with strong expertise in
Snowflake, SQL, and ETL development
to build and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have hands-on experience in modern cloud data platforms and a strong understanding of data architecture, transformation, and performance optimization.
Job Description
Design, develop, and maintain
data pipelines and ETL processes
for large-scale data ingestion and transformation.
Develop and optimize complex
Snowflake SQL queries , stored procedures, and data models.
Build and manage
data warehouses and data marts
on Snowflake.
Implement efficient
data loading and transformation strategies
using ETL tools.
Monitor and troubleshoot
data pipeline performance issues
and ensure data quality and integrity.
Collaborate with cross-functional teams including
data analysts, data scientists, and business stakeholders .
Perform
query tuning and performance optimization
for Snowflake workloads.
Ensure adherence to
data governance, security, and compliance standards .
Automate workflows and scheduling using orchestration tools.
Support data migration and integration from multiple data sources.
Preferred Qualifications
10+ years of experience in Data Engineering / Data Warehousing.
Strong hands-on experience with Snowflake Cloud Data Platform.
Advanced proficiency in SQL (query optimization, joins, CTEs, window functions).
Expertise in ETL/ELT tools such as Informatica, Talend, SSIS, Matillion, or similar.
Experience with data modeling (star schema, snowflake schema).
Good understanding of data warehousing concepts and best practices.
Experience with cloud platforms (AWS/Azure/GCP) is preferred.
Familiarity with scripting languages (Python/Shell) is a plus.
Knowledge of data orchestration tools (Airflow, Azure Data Factory, etc.).
Strong problem-solving and analytical skills.
Location Portland OR
Educational Qualifications Technical certification in multiple technologies is desirable.
Good to have skills Pharmacy Domain
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Sprachkenntnisse
- English
Hinweis für Nutzer
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