HI
Staff API Engineer
Han IT Staffing
Location not stated
Staff / Principal
4 months ago
- GCP
- Data Architecture
- Agile
- Performance Testing
- AI/ML
- Postman
- Dynatrace
- Cloud Run
- GKE
- Cloud Functions
- Cloud SQL
- BigQuery
- CI/CD
- Vertex AI
- Natural Language Processing
- GitHub
- Apigee
- Python
- FastAPI
- SQL
- JSON
- Apache Avro
- Parquet
- Java
- Scala
- Git
4 months ago
Location: Nashville, TN remote
Contract Role
JOB DESCRIPTION:
Position Summary
The Staff Data Engineer - API 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. 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 GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.
Major Responsibilities:
At HCA DT&I, 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 data 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 HCA data community. Evangelize data 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 GCP 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.
A successful candidate will have:
• Strong understanding of best practices and standards for GCP Data process design and implementation.
• 2+ years hands-on experience with GCP platform and experience with many of the following components:
o Postman, Dynatrace
o Cloud Run, GKE, Cloud Functions
o Bigtable, Cloud SQL, Cloud Spanner
o BigQuery, Cloud Function
o Cloud Run, CI/CD, Cloud Logging
o Vertex AI, NLP, GitHub
• 4+ Years of hands-on experience with many of the following components:
o API Development
o Apigee
o Python FastAPI Framework
o Spark Streaming, Kafka
o SQL, JSON, Avro, Parquet
o Java, Python, or Scala
Certifications (a plus, but not required):
• GCP 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
•5+ years of experience in Data Engineer Required
•3+ years of experience in API Preferred
•10+ years of experience in Information Technology Required
Knowledge, Skills, Abilities, Behaviors:
• Demonstrates an empathetic and growth mindset with a willingness to learn new skills, technologies, and methodologies. Required
• Strong knowledge of public cloud best practices and design patterns used in creating, automating, and supporting data pipelines. Required
• Strong ability to assemble large, complex sets of data that meet functional and non-functional product requirements. Required
• Strong ability to identify, design, and implement internal process improvements including redesigning data platforms for greater scalability, optimized data delivery, and automating manual processes. Required
• Strong ability to create and use analytical tools to monitor data pipeline metrics and provide actionable intelligence to increase operational efficiency and valuable data outcomes. Required
• Strong ability to present and facilitate technical ideas. Required
• Expert ability using source control management tools such as Git/GitHub. Required
• Expert ability using CI/CD automation tools. Required
• Strong understanding of SQL and analytical data warehouses Required
• Strong understanding of Agile methodologies and how to apply Agile within the team. Required
• Helps coach and mentor junior team members and others external to the team. Required
• Proven ability to complete work, make sound decisions, and plan and accomplish goals without explicit direction/guidance from leadership. Required
• Builds and nurtures healthy relationships with all colleagues. Required
• Stays abreast of public cloud technologies, capabilities, and industry use of public cloud to help guide.
Staff API Engineer · Han IT Staffing