Job Summary and QualificationsThe Senior Data Engineering provides technical leadership for the design, implementation, and support of enterprise data platforms, cloud infrastructure, and modern ETL/ELT solutions. The role leads the architecture and development of scalable data pipelines, Infrastructure-as-Code using Terraform, and cloud-native services on Google Cloud Platform while mentoring engineers and partnering with business stakeholders.
Successful candidate will have excellent verbal and written communication skills, the ability to establish effective working relationships and manage multiple priorities. Understanding the vision of enterprise development tools and platforms, the position provides hands-on technical leadership for application development projects/production support and provides guidance to other developers in completion of technical deliverables. This also involves working with business partners and business analysts on documenting their business requirements to ensure they are technically feasible and to produce technical designs that will meet the requirements.
Additionally, this position is constantly in search of improvement opportunities for any process involved with the deployment of technical deliverables. This includes requirement and design documentation, development and testing methodology, and deployment process.
MAJOR RESPONSIBILITIESServe as the technical lead for enterprise data engineering and cloud platform initiatives.
Lead architecture and implementation of scalable ETL/ELT pipelines supporting analytics and operational systems.
Design and optimize data models, BigQuery datasets, and enterprise data warehouses.
Develop batch and streaming data pipelines using Cloud Composer (Airflow), Pub/Sub, and Python.
Design, build, and maintain Google Cloud infrastructure using Terraform and Infrastructure-as-Code best practices.
Administer IAM, Cloud Storage, Cloud SQL, Cloud Run, networking, logging, monitoring, and security controls.
Establish CI/CD pipelines and automate infrastructure and application deployments.
Implement data quality, lineage, validation, monitoring, and observability standards.
Optimize BigQuery workloads using efficient SQL, data modeling, partitioning, and clustering to improve performance and cost efficiency
Optimize SQL performance, partitioning, indexing, and query execution for large datasets.
Mentor engineers, conduct code and architecture reviews, and establish engineering standards.
Partner with business stakeholders to translate requirements into scalable technical solutions.
Data Engineering SkillsEnterprise ETL/ELT architecture, Python, Advanced SQL, Data Modeling, BigQuery, Cloud Composer (Airflow), Data Quality, Performance Optimization
Cloud & Infrastructure SkillsGoogle Cloud Platform, Terraform, Infrastructure as Code, IAM, Cloud Storage, Cloud SQL, Pub/Sub, Cloud Run, Cloud Monitoring, Cloud Logging
DevOps SkillsGit, Azure DevOps, GitHub, CI/CD, Docker, Kubernetes - Preferred
Application Integration REST APIs, .NET, Java, Spring Boot, Angular, SSRS/SSIS - Preferred
Leadership ExpectationsProvide technical direction and architectural guidance.
Lead solution design and architecture reviews.
Mentor engineers and review code and infrastructure changes.
Drive engineering standards, governance, and cloud best practices.
Partner with Architecture, Security, Infrastructure, and Business teams.
What qualifications you will need:EDUCATIONBachelor's Degree or equivalent experience - Preferred
EXPERIENCE5 or more years of experience in Information Technology - Required
3 or more years of experience in a technical lead or mentoring engineering teams - Preferred
TRAVELThe job may require travel from time- to-time, but not on a regular basis.
BenefitsHCA Healthcare, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:
- Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health and telemedicine services
- Wellbeing support, including free counseling and referral services
- Time away from work programs for paid time off, paid family leave, long- and short-term disability coverage and leaves of absence
- Savings and retirement resources, including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), Employee Stock Purchase Plan, flexible spending accounts, preferred banking partnerships, retirement readiness tools, rollover support and financial wellbeing counseling
- Education support through tuition assistance, student loan assistance, certification support, dependent scholarships and a partnership with Galen College of Nursing
- Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection and consumer discounts
Learn more about Employee Benefits
Note: Eligibility for benefits may vary by location.If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Senior Data Engineer opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews.
Unlock the possibilities and apply today! 
