INTRODUCTION

Do you want to join an organization that invests in you as a Senior Data Engineer? At HCA Healthcare, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.

NOTE: ELIGIBILITY FOR BENEFITS MAY VARY BY LOCATION.

You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Senior Data Engineer like you to be a part of our team.

JOB SUMMARY AND QUALIFICATIONS

Data Engineers within HCA’s Information and Analytics organization are responsible for defining and implementing data management practices across the enterprise. This position will focus primarily on enterprise data management and migrating of data to the cloud. This role requires working closely with the different data teams and requires ‘self-starters’ who are proficient in problem solving and capable of bringing clarity to complex situations.
Data Engineers are expected to source and incorporate new data sources into the Enterprise Data Ecosystem. The responsibilities will include writing, testing, and reviewing ETL pipelines for defining and implementing data management practices across the enterprise

This candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team environment.

• Responsible for building and supporting a Cloud based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data. Direct the transformation from HCA Healthcare’s current on premise Teradata platform to Google Cloud Platform to enable analytics and machine learning at scale.
• Implement enterprise data management practices, standards, and frameworks for Data Integration
• Develop, manage, and own full data lifecycle from raw data acquisition through transformation to end user consumption.
• Analyze requirements, design data pipelines and integrate those solutions for customer environments
• Translate business requirements into technical design specifications
• Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles
• Maintains a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and accessed
• Provide guidance on technology choices and design considerations for migrating data to the Cloud
• Experience with building consumable data lakes, analytics applications and tools
• Designing the cloud environment from a comprehensive perspective, ensuring that it satisfies all of the company’s needs.
• Performs activities such as deployment, maintenance, monitoring, and management inside the cloud framework that has been created
• Work closely with individuals across the technology organizations to help promote awareness of the data architecture and ensure that enterprise assets of competence are leveraged

WHAT QUALIFICATIONS YOU WILL NEED:

• Bachelor’s degree
• Master’s degree
• 7+ years of experience in Information Technology
• 3+ years of experience in Cloud Technologies

Experience Needed:

• Extensive experience with relational database management systems; Teradata, Oracle or SQL Server preferred.
• Ability to troubleshoot, maintain, reverse engineer, and optimize existing ETL pipelines
• Advanced SQL skills, including the ability to write, tune, and interpret SQL queries
• Experience developing and supporting data pipelines from various source types (on-prem RDBMS, AWS, GCS bucket, flat file) to Big Query utilizing Google Cloud Platform native technologies
• Scripting experience with Python/Unix/Linux.
• Experience with Git and GitHub version control.
• Experience with relational databases such as Teradata and public cloud technologies such as, GCP Big Query, GCP Data Catalog and Azure Data Bricks preferred
• Experience with Cloud Data Flow, Airflow, Cloud Composer, Streamsets or managing streaming data is strongly preferred
• Ability to troubleshoot, maintain, reverse engineer and optimize existing ETL pipelines.
• Experience with Cloud Data Flow, Airflow, Cloud Composer, Cloud Data Fusion, Data Catalog, gsutil, GCS, Pub/Sub, Kafka, DataProc, github
• Experience with handling streaming data is strongly preferred
• NoSQL, Hbase, Cassandra, MongoDB, In-memory, Columnar, other emerging technologies
• Ability to analyze and interpret complex data, and offer solutions to complex clinical problems.
• Ability to work independently on assigned tasks.
• Strong written and verbal communication skills including the ability to explain complex technical issues in a way that non-technical people may understand.
• Excellent problem-solving and critical thinking skills.
• Knowledge of IT governance and operations.

“Good people beget good people."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Senior Data Engineer opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

• Responsible for building and supporting a Cloud based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data. Direct the transformation from HCA Healthcare’s current on premise Teradata platform to Google Cloud Platform to enable analytics and machine learning at scale.
• Implement enterprise data management practices, standards, and frameworks for Data Integration
• Develop, manage, and own full data lifecycle from raw data acquisition through transformation to end user consumption.
• Analyze requirements, design data pipelines and integrate those solutions for customer environments
• Translate business requirements into technical design specifications
• Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles
• Maintains a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and accessed
• Provide guidance on technology choices and design considerations for migrating data to the Cloud
• Experience with building consumable data lakes, analytics applications and tools
• Designing the cloud environment from a comprehensive perspective, ensuring that it satisfies all of the company’s needs.
• Performs activities such as deployment, maintenance, monitoring, and management inside the cloud framework that has been created
• Work closely with individuals across the technology organizations to help promote awareness of the data architecture and ensure that enterprise assets of competence are leverage