Senior Data Engineer

Community Health Systems

Franklin, TN, United States

23 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Amazon Web Services Automation of Tests Microsoft Azure Cloud Database Information Systems Data Architecture Information Engineering Extract Transform Load (ETL) Data Warehousing

+18 more

Relational Databases Database Queries Distributed Systems Java Virtual Machine (JVM) Python (Programming Language) Cloud Services Scala (Programming Language) SQL Databases Unstructured Data Enterprise Data Management Data Processing Sql Optimization Kotlin Build Management Information Technology Data Management Software Version Control Data Pipelines

Job description

The Senior Data Engineer designs, builds, and optimizes scalable data pipelines and cloud-based data infrastructure. This role is critical to managing and organizing structured and unstructured data across the organization to enable outcomes analysis, insights, compliance, reporting, business intelligence, and data science. The Senior Engineer ensures data quality, security, and performance across platforms while providing technical leadership and mentorship to junior engineers., * Design and build efficient, scalable data pipelines using cloud services

Maintain and refactor complex SQL and ETL processes in enterprise data platforms
Develop automation scripts, APIs, and infrastructure components
Collaborate with architects, analysts, and stakeholders to translate requirements
Ensure strong data quality, integrity, and security controls across platforms
Troubleshoot complex data issues and lead root cause analysis

Requirements

Advanced SQL and strong data modeling expertise
Proficiency in Python or JVM languages for data engineering and automation
Deep knowledge of cloud-based data patterns, distributed systems, and modern data architectures
Strong analytical reasoning and problem-solving abilities
Ability to lead delivery efforts and mentor junior team members
Clear communication skills with the ability to explain technical concepts to non-technical audiences
Ability to work independently and collaborate effectively in cross-functional environments, * Bachelor’s degree in Information Systems, Computer Science, Data Management, or related field preferred
5-8 years of experience in data engineering or a similar role
Strong SQL skills and deep knowledge of relational databases and data warehousing
Proficiency in Python or JVM languages (e.g., Java, Scala, Kotlin) for data manipulation and automation
Hands-on experience with cloud data platforms (e.g., AWS, Azure, or GCP)
Solid understanding of ETL/ELT processes, data modeling, and data architecture
Track record of owning and leading technical projects
Experience with Agile methodologies and version control