Sr. Staff API Engineer(Google Cloud Platform, API) - Nashville , TN(Onsite)

Nashville, TN, US • Posted 14 hours ago • Updated 14 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
6 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Collaboration
  • Application Development
  • Caching
  • Clarity
  • Cloud Computing
  • Conflict Resolution
  • API
  • Agile
  • Apache Avro
  • Apache Kafka
  • Apache Parquet
  • Good Clinical Practice
  • Data Security
  • Dynatrace
  • Effective Communication
  • FOCUS
  • GitHub
  • Continuous Integration and Development
  • Data Analysis
  • Data Architecture
  • Google Cloud Platform
  • Artificial Intelligence
  • Continuous Delivery
  • Continuous Integration
  • Dashboard
  • Supervision
  • Teamwork
  • Technical Direction
  • Test-driven Development
  • Unstructured Data
  • Process Modeling
  • Product Requirements
  • SQL
  • Scala
  • Streaming
  • Mentorship
  • NextGen
  • POSTMAN
  • Performance Testing
  • Problem Solving
  • Workflow
  • Health Care
  • IDEA
  • JSON
  • Java
  • Leadership
  • Machine Learning (ML)
  • Python
  • Writing

Summary

Sr. Staff API Engineer(Google Cloud Platform, API)
Nashville , TN
Position Summary
The Senior Staff API Engineer - API serves as a primary development resource for design, writing code, test,
implementation, document functionality, and maintain of NextGen solutions for the Google Cloud Platform Cloud enterprise data
initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader
project team. This role requires self-starters who are proficient in problem solving and capable of bringing clarity to
complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills
are equally important as technical capability. Due to the emerging and fast-evolving nature of Google Cloud Platform 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 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 (consultant and employee) environment. In addition, the applicant must be willing
to mentor other developers to prepare them for assuming the responsibilities.
As a Senior Staff API Engineer, you will collaborate closely with all team members to create a modular, scalable
solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical
in building the team s API engineering practices in test driven development, continuous integration, and automated
deployment and is a hands-on team member who actively coaches the team to solve complex problems.
Major Responsibilities:
your deliverables will influence patient care. Every process, technology, and decision matters. This role
will provide application development for specific business environments. Focus on setting technical direction on groups
of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all
business, architecture, and technology constraints.
Work with API engineers, data architects, data scientists, and other internal stakeholders to understand product
requirements and then design, build, and monitor data platforms and pipelines that meet today's requirements
but can gracefully scale.
Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely
delivery of data, and move the company closer to democratizing data.
Enable a self-service data architecture supporting query exploration, dashboards, data catalog, and rich data
discovery.
Promote a collaborative team environment that prioritizes effective communication, team member growth, and
success of the team over success of the individual.
Design and create APIs that accelerate the time from idea to insight.
Adheres to and supports API best practices, processes, and standards.
Produce high quality, modular, reusable code that incorporates best practices and serves as an example for
less experienced engineers.
Helps promote and support data security best practices that align with industry standards and regulatory and
legal requirements.
Help mentor team members on complex data projects and following the Agile process.
Help lead data analysis efforts and solution proposals to data related and data architecture problems.
Help lead implementation of unit and integration tests and promote and conduct performance testing where
appropriate.
Be a leader in the data community. Evangelize API engineering best practices and standards, participate,
or present at community events, and encourage the continual growth and development of others.
Be curious. Be growth minded. Encourage and enable this in others.
Demonstrate professional and personal maturity through self-leadership.
Build productive and healthy relationships within the department and other teams to foster growth of our
culture, our people, and our platforms.
Practices and adheres to the Code of Conduct philosophy and Mission and Value Statement.
Perform other duties as assigned.
Responsible for building and supporting a Google Cloud Platform based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data. Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills. Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments. Proven experience effectively prioritizing workload to meet deadlines and work objectives. Works in an environment with rapidly changing business requirements and priorities Shares knowledge and experience to contribute to growth of overall team capabilities. Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations. A successful candidate will have: Strong understanding of best practices and standards for Google Cloud Platform Data process design and implementation. 2+ years hands-on experience with Google Cloud Platform platform and experience with many of the following components: o Postman, Bruno, Dynatrace o API versioning, caching, and pagination o Cloud Run, GKE o Bigtable, Cloud SQL, Cloud Spanner o BigQuery, Cloud Function o Cloud Run, CI/CD, Cloud Logging o GitHub o FHIR Format 4+ Years of hands-on experience with many of the following components: o API Development o Apigee o Python FastAPI Framework o Streaming, Kafka o SQL, JSON, Avro, Parquet o Java, Python, or Scala Certifications (a plus, but not required): Google Cloud Platform Cloud Professional Data Engineer
Education & Experience:
Bachelor's degree in computer science, related technical field, or equivalent experience Preferred
Master's degree in computer science or related field Preferred
7+ years of experience in API Engineer Required
3+ years of experience in Healthcare Preferred
10+ years of experience in Information Technology Required
Knowledge, Skills, Abilities, Behaviors:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119144
  • Position Id: 8974894
  • Posted 14 hours ago
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