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CereCore

Senior Data Engineer

CereCore, Nashville, Tennessee, United States, 37247


Classification:

Contract

Contract Length:

12 months

Job ID:

16534925

Location:

Nashville, TN

CereCore® provides EHR implementations, IT and application support, IT managed services, technical staffing, strategic IT consulting, and advisory services to hospitals and health systems nationwide. Our heritage is in the hallways of some of America’s top-performing hospitals. We have served as leaders in finance, operations, technology, and as clinicians turned power users and innovators. At CereCore, we know firsthand the power that aligned technology can provide in delivering care. As a wholly-owned subsidiary of HCA Healthcare, we are committed to bringing the expertise we have gained as operators to deliver IT services that emphatically address the needs of health systems across the United States. Our team of over 600 clinical and technical professionals has implemented EHR systems in more than 400 facilities and provides managed services support to tens of thousands of health system employees. We work tirelessly to provide healthcare organizations specialized IT services that support the delivery of patient care. The Link to Life-Saving Care.

CereCore is seeking a

Senior Data Engineer

to join our team in

Nashville, TN.

Position Summary

This role will collaborate with various leaders, product owners, analysts, project managers, and technical solution providers across the enterprise to deliver on business needs related to implementation of data products to support the development of new end user, analytics, and operational automations and applications.

Responsibilities

Stored Procedures Development: Design, write, and optimize complex stored procedures to support data processing, reporting, and application functionalities

Data Workflow Automation: Develop and maintain automated data workflows to ensure efficient data movement and transformation across various systems and databases

ETL Process Design: Design, implement, and manage ETL (Extract, Transform, Load) processes to support data integration from various sources into data warehouses or other centralized systems

Data Standardization: Establish and enforce data standards to ensure data consistency, accuracy, and quality across the organization. Develop data transformation rules and procedures to standardize incoming data

Performance Tuning: Monitor and optimize database performance, including query tuning and indexing, to ensure efficient data processing and retrieval

Collaboration: Work closely with data analysts, database administrators, and other stakeholders to understand data requirements and deliver solutions that meet business needs

Documentation: Create and maintain comprehensive documentation for all developed processes, including stored procedures, data workflows, ETL processes, and data standardization protocols

Troubleshooting: Diagnose and resolve data-related issues, including data inconsistencies, workflow failures, and performance bottlenecks

Requirements

5+ years of experience in database development, with a focus on writing stored procedures in SQL

Three or more years of experience with Python, SQL, and data visualization/exploration tools

Communication skills, especially for explaining technical concepts to nontechnical business leaders

Strong experience in developing and managing ETL processes using tools like SSIS

Proficiency in data workflow automation tools and platforms like Power automate

Deep understanding of data standardization techniques, data quality and best practices

Experience with performance tuning and optimization of databases and queries

Strong problem-solving skills and attention to detail

Excellent communication skills, with the ability to work effectively with cross-functional teams

2+ Experience with Google cloud-data platform

Familiarity with Agile development methodologies

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.