27 applicants

Company

Renown Health · 4 hours ago

Senior Data Engineer - Remote

Reno, NV

Full-time

Remote

Senior Level, Lead/Staff

$58/hr - $82/hr

10+ years exp

Maximize your interview chances

Health CareHospital

Insider Connection @Renown Health

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

In collaboration with Team members, build full technology stack of services for commercialization purposes including PaaS (Platform as-a-service), IaaS (Infrastructure as-a-service), SaaS (software as-a-service), operations and management.

Manage and optimize the movement and validation of data from an Epic EMR system to Renown Health’s Enterprise Data Warehouse (EDW).

Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.

Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources (e.g., electronic health record, claims, wearable device, publicly available data, etc.) to enable learning health, machine learning model development, and deployment.

Design, direct and implement ETL processes, including data capture, data quality, testing and validation methods.

Knowledge of interface engines and protocols. Experience with HL7, X12 and/or XML and OPENLink.

Provide guidance on synchronizing the Epic EMR data architecture with customized data models that facilitate reporting and analytics.

Layer in instrumentation in the development process so that data pipelines can be monitored. Measurements are used to detect internal problems before they result into user visible outages or data quality issues.

Build processes and diagnostic tools to troubleshoot, maintain and optimize engineering environments and respond to production issues.

Provide subject matter expertise and hands on delivery of data capture, curation, and consumption pipelines for Microsoft Azure.

Ability to build Azure data solutions and provide technical perspective on storage, big data platform services, serverless architectures, Hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases and security.

Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.

Develop documentation, such as data dictionaries, guides, or data flow diagrams that assists staff in identifying, locating, and using the organization’s data.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Microsoft AzureSQLData WarehousingETL processesData engineering lifecycleRDBMSAzure Data FactoryNoSQLHadoop ecosystemHL7X12XMLAzure FunctionsAzure SQL DBEvent HubIOT HubAzure Stream AnalyticsAzure Analysis ServiceHDInsightDatabricksCosmo DBMachine LearningHealthcare DataICD-10 CodesCPT CodesDRG CodesTechnical Writing

Required

Familiarity with the Microsoft Azure Cloud-based platform, both traditional as well as Fabric.

Experience in developing, designing, implementing, and maintaining a Microsoft Azure Data Warehousing environment.

Ability to set up and automate data pipelines via ETL / ELT processes.

Proficiency in SQL and ability to discuss complex computer science or statistical concepts.

Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).

At least 3 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions.

Minimum of 3 years of RDBMS experience.

Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.

Excellent verbal and written communication skills.

Must have working-level knowledge of the English language, including reading, writing, and speaking English.

Requires a minimum of 10 years’ experience with at least five (5) years working in data management, data engineering, or data architecture.

Requires at least five (5) years working with healthcare data.

SQL proficiency is required.

Ability to obtain Epic System’s Caboodle and Clarity Development Certificates and relevant data model badges required within 12 months of hire.

Must stay current on new version certification as applicable.

Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word.