Sr Staff Data Engineer and API Dev

• The Senior 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.

• 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 Data 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:

• 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.

• 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 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

• 5 years of experience in Data Engineer

• 10 years of experience in Information Technology
  

Knowledge, Skills, Abilities, Behaviors:

• 3 years of experience in API

• Demonstrates an empathetic and growth mindset with a willingness to learn new skills, technologies, and methodologies.

• Strong knowledge of public cloud best practices and design patterns used in creating, automating, and supporting data pipelines.

• 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.

• 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.

• Strong ability to present and facilitate technical ideas.

• Expert ability using source control management tools such as Git/GitHub.

• Expert ability using CI/CD automation tools.

• Strong understanding of SQL and analytical data warehouses

• Strong understanding of Agile methodologies and how to apply Agile within the team.

• Helps coach and mentor junior team members and others external to the team.

• Proven ability to complete work, make sound decisions, and plan and accomplish goals without explicit direction/guidance from Leadership.

• Builds and nurtures healthy relationships with all colleagues.

• Stays abreast of public cloud technologies, capabilities, and industry use
  

The pay range that the employer in good faith reasonably expects to pay for this position is $57.79/hour - $90.29/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Salary : $58 - $90