Big Data Engineer

HCA Healthcare; Nashville (TN); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Big Data Engineer to drive innovative solutions within a GCP Cloud environment. This role is perfect for someone who thrives in a fast-paced, collaborative setting and is eager to leverage cutting-edge technology to transform data into actionable insights. You will be responsible for developing and maintaining an enterprise-wide data ecosystem, supporting various data types, and working closely with cross-functional teams to enhance product features. If you are passionate about data and technology and want to make a significant impact in healthcare, this opportunity is for you.

Qualifications

• Proficiency in data analysis, programming, and software engineering required.
• Experience with GCP and Hadoop technology is essential.

Responsibilities

• Develop and support a GCP ecosystem for enterprise data analysis.
• Collaborate with Data Scientists and IT leaders to meet business needs.

Skills

Data Analysis

Programming

Software Engineering

Problem-Solving

Agile Practices

Tools

GCP

Hadoop

Job description

The Big Data Engineer/Consulting-Level serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. Due to the emerging and fast-evolving nature of GCP/Hadoop technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice. In addition, 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.

Responsibilities:

• This role will provide application development for specific business environments.
• Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
• Bring new data sources into GCP, transform and load to databases and support regular requests to move data from one cluster to another.
• Develop a strong understanding of relevant product area, codebase, and/or systems.
• Demonstrate proficiency in data analysis, programming, and software engineering.
• Work closely with the Lead Architect and Product Owner to define, design and build new features and improve existing products.
• Produce high quality code with good test coverage, using modern abstractions and frameworks.
• Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.
• Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles.
• Participates in the deployment, change, configuration, management, administration and maintenance of deployment process and systems.
• Proven experience effectively prioritizing workload to meet deadlines and work objectives.
• Works in an environment with rapidly changing business requirements and priorities.
• Work collaboratively with Data Scientists and business and IT leaders throughout the company to understand their needs and use cases.
• Work closely with management, architects and other teams to develop and implement the projects.
• Actively participate in technical group discussions and adopt any new technologies to improve the development and operations.

Requirements:

• Demonstrate proficiency in data analysis, programming, and software engineering.
• Work closely with the Lead Architect and Product Owner to define, design and build new features and improve existing products.
• Produce high quality code with good test coverage, using modern abstractions and frameworks.
• Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.
• Work collaboratively with Data Scientists and business and IT leaders throughout the company to understand their needs and use cases.

Seniority Level

Mid-Senior Level

Employment Type

Contract

Job Function

Information Technology and Engineering

Industries

Hospitals and Health Care and Professional Services