Senior Data Engineer Position

4 weeks ago

Plymouth Meeting, Pennsylvania, United States ECRI Institute Full time
Job Title: Senior Data Engineer Position

Job Summary:

We are seeking a highly skilled Senior Data Engineer to join our team at the ECRI Institute. As a Senior Data Engineer, you will play a key role in designing and implementing scalable, secure, and efficient data solutions to support our analytics and business intelligence initiatives.

Key Responsibilities:

* Design, build, and maintain highly scalable ETL/ELT pipelines using Python, SQL, and Google Cloud Platform (GCP) services.
* Develop and implement best practices for data architecture, including designing schema models, managing data storage, and optimizing data flow within cloud environments.
* Leverage Airflow to orchestrate and automate data workflows, ensuring efficient and reliable data processing.
* Utilize Docker for containerizing applications and data services, ensuring consistency and ease of deployment across environments.
* Ensure data quality, standardization, integrity, and governance standards are met by establishing validation frameworks, file formats, monitoring solutions, and enforcing security protocols.
* Collaborate with data scientists, analysts, and other stakeholders to understand data needs and develop solutions that drive business insights.
* Partner with analytics and BI teams to create and support data visualization solutions using tools like PowerBI, making data accessible and actionable for key stakeholders.

Requirements:

* 5+ years of experience in data engineering, with a focus on building scalable cloud data pipelines and architectures.
* Strong programming skills in Python and advanced proficiency in SQL for data manipulation, query optimization, and pipeline development.
* Proven experience working with Google Cloud Platform (GCP), including services like BigQuery, GCF, Cloud Run, Pub/Sub, GCR, GKE, Cloud Monitoring, GCS or equivalent experience in AWS or Azure.
* Hands-on experience with Docker for containerization and deployment of data applications.
* Experience with Kubernetes for container orchestration.
* Proficiency in using Airflow for workflow orchestration and job scheduling.
* Strong understanding of data architecture principles, including relational and NoSQL databases, as well as data warehousing concepts.
* Experience with data visualization tools such as PowerBI or similar platforms.
* Solid understanding of ETL/ELT processes, data modeling, and building data lakes/warehouses.
* Experience in CI/CD tools and version control (Git, GitLab, Jenkins) for automated model deployment.
* Familiarity with healthcare data standards and regulations (e.g., HIPAA) is a plus.
* Strong problem-solving and communication skills, with the ability to translate business requirements into technical solutions.

What We Offer:

* Competitive salary and benefits package.
* Opportunities for professional growth and development.
* Collaborative and dynamic work environment.
* Recognition and rewards for outstanding performance.

How to Apply:

If you are a motivated and experienced data engineer looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you

About ECRI Institute:

ECRI Institute is a non-profit organization dedicated to improving the safety and quality of patient care. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or veteran status.

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