Senior Snowflake Data Engineer – Healthcare Domain

The Giant Bullseye • St. Louis, MO, US • 3d ago

Job Description:

We are seeking a highly skilled Senior Snowflake Data Engineer with experience in the healthcare domain to join our dynamic team. The ideal candidate will have a strong background in data warehousing, cloud technologies, and a deep understanding of Snowflake's data platform. This role involves designing, developing, and optimizing data pipelines and architectures to support our healthcare analytics initiatives. If you are passionate about leveraging data to improve healthcare outcomes and have expertise in Snowflake, we encourage you to apply.

Key Responsibilities:

Data Architecture and Design:
- Design and implement scalable and robust data warehouse solutions using Snowflake .
- Develop and maintain data models, schemas, and integrations that align with business requirements.
- Ensure data architecture meets industry best practices and compliance standards, particularly in healthcare.
Data Integration and Pipelines:
- Develop efficient ETL/ELT processes to ingest data from various sources into Snowflake.
- Utilize tools such as Apache Spark , Python , and SQL for data processing and transformation.
- Implement data quality checks and monitor data pipeline performance.
Performance Optimization:
- Optimize Snowflake queries and manage virtual warehouses for cost and performance efficiency.
- Implement caching, clustering, and other optimization techniques to enhance data retrieval.
Collaboration and Stakeholder Engagement:
- Work closely with data analysts, data scientists, and business stakeholders to understand data needs.
- Translate business requirements into technical solutions within Snowflake.
Compliance and Security:
- Ensure data solutions comply with healthcare regulations and data privacy laws (e.g., HIPAA).
- Implement security best practices, including data encryption and access controls within Snowflake.
Innovation and Best Practices:
- Stay updated on the latest Snowflake features and industry trends.
- Contribute to the continuous improvement of data engineering practices and processes.

Qualifications:

Experience:
- Minimum of 5 years of experience in data engineering or related fields.
- At least 2 years of hands-on experience working with Snowflake .
- Experience in the healthcare domain , understanding healthcare data standards and regulations.
Technical Skills:
- Proficient in Snowflake architecture, features, and best practices.
- Strong knowledge of SQL and database concepts.
- Experience with ETL/ELT tools and processes.
- Familiarity with data integration tools such as Informatica , Matillion , or Talend .
- Programming experience in Python or Java .
- Understanding of cloud platforms (e.g., AWS , Azure , Google Cloud ) and related services.
- Experience with data modeling and data warehousing concepts.
- Knowledge of performance tuning and optimization in Snowflake.
Healthcare Knowledge:
- Familiarity with healthcare data types, such as EHR/EMR systems, claims data, and clinical data.
- Understanding of healthcare interoperability standards (e.g., HL7, FHIR).
- Knowledge of healthcare compliance and data privacy regulations (e.g., HIPAA, HITECH).
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication skills, both written and verbal.
- Ability to work collaboratively in a team environment.
- Detail-oriented with a focus on delivering quality results.

Preferred Qualifications:

Certifications:
- Snowflake SnowPro Core Certification or higher.
- Certifications related to cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
Additional Skills:
- Experience with data visualization tools like Tableau , Power BI , or Looker .
- Knowledge of other database technologies (e.g., Redshift , BigQuery ).
- Experience with DevOps practices and CI/CD pipelines.