Senior Data Engineer

Location: United States

About CHS:

Community Health Systems is one of the nation's leading healthcare providers. Developing and operating healthcare delivery systems in 35 distinct markets across 14 states, CHS is committed to helping people get well and live healthier. CHS operates 70 affiliated hospitals with more than 10,000 beds and approximately 1,000 other sites of care, including physician practices, urgent care centers, freestanding emergency departments, imaging centers, cancer centers, and ambulatory surgery centers.

About the Role:

We are seeking an experienced Data Engineer to design, build, deploy, and manage our company’s data infrastructure. This role is critical to managing and organizing structured and unstructured data across the organization to enable outcomes analysis, insights, compliance, reporting, and business intelligence. This role requires a strong blend of technical expertise, problem-solving abilities, and communication skills. Emphasis will be placed on leadership, mentorship, and ownership within the team.

Essential Duties and Responsibilities:

• Design, build, and maintain robust CI/CD pipelines, including infrastructure as code
• Design, build, and maintain scalable and efficient data pipelines using various GCP services.
• Maintain and refactor complex legacy SQL ETL processes in BigQuery.
• Write clean, maintainable, and efficient code for data processing, automation, and API integrations.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Ensure data quality, integrity, and security across all data platforms.
• Troubleshoot and resolve data-related issues, performing root cause analysis and implementing corrective actions.
• Contribute to the continuous improvement of our data engineering practices, tools, and methodologies.
• Mentor junior team members and provide technical guidance.
• Lead data initiatives from conception to deployment.

Our Stack (In Development):

• GitHub, GitHub Actions, Terraform, Docker, Helm
• JVM languages (Kotlin preferred), SQL, Python
• GCP services: Cloud Composer, Dataproc, Dataplex, BigQuery, BigLake, GKE
• OSS: Kubernetes, Spark, Flink, Kafka

Required Education:

• Bachelor’s Degree or 4 years equivalent professional experience

Required Experience:

• 5-7 years of professional experience in data engineering or a similar role.
• Proficiency in SQL, with a deep understanding of relational databases and data warehousing concepts.
• Expertise in JVM languages or Python for data manipulation, scripting, and automation.
• Demonstrable experience with cloud services related to data engineering.
• Strong understanding of ETL/ELT processes, data modeling, and data architecture principles.
• Excellent problem-solving skills and a strong analytical mindset.
• Ability to work independently and as part of a collaborative team.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Proven leadership potential and a willingness to take ownership of projects.
• Experience with Agile development methodologies
• Expertise with version control systems (e.g., Git, GitHub)

Preferred Experience:

• Experience with distributed data processing frameworks 
• Experience with distributed systems
• Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI)
• Experience with data integration and migration within Oracle Cloud Infrastructure (OCI)
• Familiarity with data structures and extraction methodologies for Oracle Cloud ERP applications (e.g., Financials, HCM, SCM)