94 applicants

Company

Original Job Post

Apex Health Solutions · 2 days ago

Data Engineer

United States

Full-time

Remote

Mid Level

3+ years exp

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ConsultingHealth Care

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Responsibilities

Translate business requirements to technical solutions leveraging strong business acumen.

Conduct data profiling, cataloging and mapping for technical design and construction of technical data flows.

Analyze current business practices, processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services.

Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.

Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies.

Design and build modern data pipelines, data streams, and system integration.

Creation of procedures and code to facilitate the movement of data to and from files and formats using ETL/ELT processes.

Ensure code can be deployed using Azure DevOps.

Design and build data service APIs.

Ongoing management of data processing jobs and routines within an Azure/SQL Server environment.

Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and advanced analytics.

Support and research issues across all application layers and database.

Expose data to end users using PowerBI.

Implement effective metrics and monitoring processes.

Qualification

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T-SQLPythonAzure SQL DWDatabase ManagementPerformance TuningEnterprise Data WarehouseData MartBusiness Intelligence ReportingIntegrationHealthcare Data StandardsFHIRHIPAAHL7EDI ProtocolsClinical DataAdministrative DataHealthcareData PipelinesCloud Data TransformationAzure Data FactoryEvent HubAzure DevopsDatabricksAzure StorageData LakeAzure SQL DatabaseData ModelingSQL TechniquesAgile MethodologiesSCRUM

Required

Strong relational database and scripting languages (T-SQL, Python) with experience in Azure SQL DW.

Knowledge in database management, such as performance tuning of the Enterprise Data Warehouse, Data Mart, and Business Intelligence Reporting environments, and support the integration of those systems with other applications.

Knowledge of emerging data healthcare data and security standards, such as FHIR and HIPAA.

Familiarity with HL7 or other healthcare-related EDI protocols and both clinical and administrative healthcare data sources.

Excellent problem solving, analytical, and critical thinking skills.

Familiarity with working in a regulated industry, preferably in health care.

Bachelor of Computer Science, MIS or equivalent degree from an accredited U.S college or university.

3+ years of experience implementing data pipelines and cloud data transformation processes using latest technologies and techniques, including Azure Data Factory, Event Hub, Azure Devops, Databricks, Azure Storage/Data Lake, Azure SQL Database.

Experience in data modeling and advanced SQL techniques.

Experience working in an environment using Agile/SCRUM methodologies and principles.