Validation Engineer prepares all protocols and reports for validation work. Coordinates all validation activities by constant communication with affected departments and personnel; oversees and reviews validation area processes and procedures. Being a Validation Engineer may require a bachelor's degree. Typically reports to a manager or head of a unit/department. The Validation Engineer works on projects/matters of limited complexity in a support role. Work is closely managed. To be a Validation Engineer typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
This position is eligible for full-time remote and/or telework if located in Montana, Wyoming, Hawaii, Kansas, Minnesota, Michigan, Arizona, or Texas.
The Data Engineer acts as subject matter experts of the data repositories available within the organization by obtaining an in-depth understanding of each source system. These engineers are primarily focused on the creation, management, and availability of data pipelines to support structured analytics.
Essential Job Functions
Develops data pipelines using extract, transform, and
load (ETL/ELT) processing routines for enterprise level data warehousing
initiatives.
Writes advanced queries using data scripting language
including T-SQL, CCL, Python, Scala.
Create and maintain data structures and data models to
support data at all stages of the data pipeline development lifecycle.
Maintain, tune, and scale big data infrastructure
platforms (Snowflake, AWS, Azure) to appropriately handle workloads.
Identify, design, and implement internal process
improvements: automating manual processes, optimizing data delivery, data
acquisition, data enrichment, re-designing infrastructure for greater
scalability, etc.
Perform database performance tuning methods to ensure
uptime and data refresh rate SLAs are met.
Participate in data engineering team code reviews and
offer recommendations regarding data architecture.
Supports department BI Analysts in translating business
requirements into Azure DevOps development tasks to properly track and
implement solutions that meet the needs of stakeholders by way of agile
development lifecycles.
Align with Billings Clinic data engineering development
standards to deliver uniform results providing a consistent and supportable
view of data across the organization.
Duties may require 24 hour, seven days per week on-call
responsibility for project support or for escalated support issues.
Supports and models behaviors consistent with Billings
Clinics mission, vision, values, code of business conduct and service
expectations. Meets all mandatory organizational and departmental
requirements. Maintains competency in all organizational, departmental and
outside agency standards as it relates to the environment, employee, patient
safety or job performance.
Performs all other duties as assigned or as needed to
meet the needs of the department/organization.
Department
or Level Specific Duties and Responsibilities
Drives end-to-end data pipeline development efforts for
on-time delivery of high-quality data solutions that conform to requirements
and comply with all applicable standards.
Identifies needs, designs, and implements solutions
that are automated, scalable, and sustainable while minimizing defects and
technical debt.
Evaluates and analyzes the current system architecture
to improve uptime and responsiveness. Provides recommendation and executes on
activities including database tuning, data structure optimization, and server
resource scaling.
Proactively finds opportunities for data acquisition to
enrich our data environment.
Actively participates in code reviews and effectively
communicate issues and risks to stakeholders
Provides knowledge sharing or mentorship opportunities
to other engineers.
Guide our efforts in all areas of database design,
performance, and reliability.
Investigates and troubleshoots complicated analytic
application and stability issues.
Ensures databases are operational and provide valid and
relevant data.
Incorporate unit testing and regression testing to
ensure defect-free builds and releases.
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