Senior Data Cloud Engineer

Job Description

How have you impacted someone's life today? At BENZAIT, we are focused on empowering our clients to provide exceptional patient care each and every day. From health systems, hospitals, rehab centers to long-term care centers and at-home care capabilities – our consultancy allows you to apply your skills in multiple settings while building your career and making a positive impact at premier healthcare systems across the nation.

The Senior Cloud Data Engineer will work with Predictive Health team members to design and implement modern, scalable data solutions using a range of new and emerging technologies on the Google Cloud Platform. This position will require working with Agile and DevOps techniques and implementation approaches in the delivery of data products and services for our largest client account.

Responsibilities

A day in the life of a Senior Cloud Data Engineer includes:

• Lead the design of a cloud-based data infrastructure on Google Cloud Platform.
• Liaise and be part of our client’s Google Cloud Platform community, contributing in the knowledge exchange on the platform.
• Assist with the development of end-to-end data pipelines: from data collection and cleaning, to supporting experimentation with predictive models, to re-integration of predictive results.
• Effectively manage several projects simultaneously, with minimal supervision, potentially coordinating third-party vendor support.
• Apply project management methodologies and software to ensure on-time delivery.
• Develop and mentor junior colleagues.
• May perform other responsibilities as assigned. Responsibilities and duties may change when circumstances dictate (e.g., emergencies change in workload, rush jobs or technical developments).

Qualifications

Education, Knowledge, Skills and Abilities Required:

• Bachelor Degree in Science, Mathematics, Engineering, or Statistics or related quantitative STEM field.
• 5 + years of experience in analysis, advanced statistical analysis or predictive analytics.
• 3+ years of hands-on experience with cloud data engineering.
• Experience working in a healthcare environment and familiarity with healthcare data types (e.g., HL7, FHIR, claims).
• Demonstrated understanding of Google Data Products, e.g.:

• BigQuery
• Dataflow
• Dataproc
• Looker
• Cloud Data Fusion
• Dataprep

• Familiarity with developing data pipelines for predictive services.
• Proficiency is developing CI / CD pipelines.
• Extensive experience using Python and R. 
• Experience in Spark (Scala/Python/Java) and Kafka.
• Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
• Experience with SQL and NoSQL modern data stores.
• Experience with Oracle Golden Gate replication in GCP.
• Ability to explain to internal and external stakeholders opportunities and / or limitations of data within the organization.
• Experience with project leadership overseeing a team of technical experts, with a demonstrated ability for time management and mentorship.

Education, Knowledge, Skills and Abilities Preferred: 

• Advanced Degree in Science, Mathematics, Engineering, or Statistics or related quantitative STEM field.
• Experience working with AI / ML in the healthcare environment.

Licenses and Certifications Preferred:

• Professional Google Data Engineer certification.
• Project Management Institute (PMI) certification.

Additional Competencies

• Effectively communicates to executive stakeholders and provides advisory support as needed.
• Proven ability and desire to learn and apply new software, technologies and techniques.
• Exceptional written and verbal communication skills, including a proven ability to effectively communicate ideas and insights to both technical and non-technical teams.
• Ability to develop project plans, roadmaps and requirements. 
• Coordinates and manages project team activities, communicates changes and progress.