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VA-806713 Hybrid/Local Oracle Health/Cerner Data Warehouse Architect (15+) with Google BigQuery, Python, GCI, data cleansing and clinical data experience Location: Richmond, VA (VDH) Duration: 12 ...
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Richmond, VA · On-site
VA-806713 Hybrid/Local Oracle Health/Cerner Data Warehouse Architect (15+) with Google BigQuery, Python, GCI, data cleansing and clinical data experience Location: Richmond, VA (VDH) Duration: 12 ...
New
Richmond, VA · On-site
... Google BigQuery Highly desired 2 Years Python Highly desired 5 Years Google Cloud Infrastructure Desired 2 Years
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Richmond, VA · On-site
... Google BigQuery Highly desired 2 Years Python Highly desired 5 Years Google Cloud Infrastructure Desired 2 Years
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Richmond, VA · On-site
... Google BigQuery Highly desired 2 Years Python Highly desired 5 Years Google Cloud Infrastructure Desired 2 Years
New
Richmond, VA · On-site
... Google BigQuery Highly desired 2 Years Python Highly desired 5 Years Google Cloud Infrastructure Desired 2 Years
New
Raleigh, NC · Remote
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Raleigh, NC · Remote
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Austin, MN · On-site
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Richmond, VA · On-site
... Google BigQuery - Highly Desired • Python - Desired • Google Cloud Infrastructure - Desired
New
Richmond, VA · On-site
... Google BigQuery - Highly Desired • Python - Desired • Google Cloud Infrastructure - Desired
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You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of ...
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Richmond, VA · On-site
... Google BigQuery Highly desired2 Years Python Highly desired5 Years Google Cloud Infrastructure Desired2 Years
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Texas City, TX · On-site
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Austin, TX · Remote
Support cross-functional teams (HR, Operations, Product) by querying key datasets from Google BigQuery. * Ensure timely and accurate responses to ad-hoc data needs. * Enhance Productivity Metrics:
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Lewisville, TX · On-site
$75K - $93K/yr
Work across both SQL Server and Google BigQuery , managing data structures and optimizing queries. * Data Quality & Governance: Support data validation, troubleshooting efforts, and documentation of ...
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... Google BigQuery • SQL • Experience in Cloud Data Warehouses • Familiarity with Data ecosystems Company : Revinate empowers hotels to connect directly with their guests. Founded in 2009, the ...
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Wilmington, MA · On-site
You ll work across Google BigQuery and/or Snowflake to develop analytics-ready datasets and power dashboards in Looker, Tableau, and/or Qlik Sense. Responsibilities Data engineering * Build and ...
Wilmington, MA · On-site
You ll work across Google BigQuery and/or Snowflake to develop analytics-ready datasets and power dashboards in Looker, Tableau, and/or Qlik Sense. Responsibilities Data engineering * Build and ...
To excel in a Google BigQuery role, proficiency in SQL, data warehousing concepts, and cloud architecture is essential, often supported by a relevant degree in computer science or data analytics. Familiarity with the Google Cloud Platform (GCP), BigQuery-specific tools, and related certifications like Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals distill complex data sets and collaborate across teams. These competencies are vital for efficiently managing, analyzing, and leveraging large-scale data within organizations to drive actionable business insights.
A Google BigQuery job is an asynchronous task used to run queries, load data, export data, or copy data within BigQuery. Each job is assigned a unique job ID and executes in the background, meaning it doesn't require continuous user interaction. There are different types of jobs: query jobs for running SQL queries, load jobs for importing data, export jobs for extracting data, and copy jobs for duplicating tables. Jobs can be managed and monitored through the BigQuery UI, CLI, or API.
Professionals working with Google BigQuery often tackle projects involving the integration, analysis, and visualization of massive data sets to support business decision-making. Common challenges include optimizing query performance, managing data security and governance, and designing scalable data pipelines to handle rapidly growing information. Day-to-day, you might collaborate with data engineers, data analysts, and business stakeholders to interpret results and translate findings into actionable strategies. This role offers the opportunity to stay at the forefront of cloud data technologies while making a measurable impact on organizational goals.
Job ID: VA-806713
Hybrid/Local Oracle Health/Cerner Data Warehouse Architect (15+) with Google BigQuery, Python, GCI, data cleansing and clinical data experience
Location: Richmond, VA (VDH)
Duration: 12 Months
Skills:
Data Architecture Required 5 Years
Data Processing Required 5 Years
Oracle Health (formerly Cerner) Required 3 Years
Google Big Query Highly desired 2 Years
Python Highly desired 5 Years
Google Cloud Infrastructure Desired 2 Years
Job Description:
This position will act in support of the VDH Data Management Team to ingest, clean, and process clinical data. This will include, but not be limited to, the following activities:
* Designing the conceptual and logical frameworks required to support the idea of a clinical data domain
* Identifying common data elements between multiple disparate origin source data systems
* Devising and implementing a plan to merge data into a cohesive, longitudinal data framework regardless of origin
* Coordinating data extracts / exports with the origin source data systems
* Defining and implementing data cleansing / processing routines
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