Senior Data Engineer

Community Health Systems; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Community Health Systems is seeking a Senior Data Engineer to design and optimize scalable data pipelines and cloud-based data infrastructure. This role is crucial for managing structured and unstructured data to enable insights, compliance, and reporting. The ideal candidate will have 5–8 years of experience, strong SQL skills, and proficiency in Python or JVM languages. Additionally, the role involves mentoring junior engineers and ensuring data quality across platforms.

Qualifications

• 5–8 years of experience in data engineering or a similar role.
• Strong SQL skills with knowledge of relational databases.
• Hands-on experience with cloud data platforms.

Responsibilities

• Design and build efficient, scalable data pipelines using cloud services.
• Maintain complex SQL and ETL processes.
• Collaborate with architects and stakeholders on requirements.

Skills

Advanced SQL

Proficiency in Python or JVM languages

Cloud-based data patterns

Analytical reasoning

Mentoring abilities

Clear communication skills

Collaboration in cross-functional environments

Education

Bachelor’s degree in Information Systems, Computer Science, or related field

Tools

AWS

Azure

GCP

SQL

Job description

Summary

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.

Responsibilities

• 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.

Skills & Competencies

• 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.

Minimum Qualifications

• 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.