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Data Engineer Cloud Computing Azure

Senior azure data engineer remote

Remote / Online - Candidates ideally in
South Naperville Area, Will County, Illinois, 60564, USA
Listing for: ESR Healthcare
Remote/Work from Home position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Azure
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Experience level: 10+ years

Mandatory skills: ADF, Azure Data Bricks, PySpark, Spark SQL, PL/SQL, Python

Job Description:

Core

Skills required:

 ADF, Azure Data Bricks, PySpark, Spark SQL, PL/SQL, Python

  • At least 5 years of consulting or client service delivery experience on Azure
  • At least 10 years of experience in Azure, Big data, database and data warehouse architecture and delivery
  • Minimum of 5 years of professional experience in 2 of the following areas:
  • Solution/technical architecture in the Azure cloud
  • Big Data/analytics/information analysis/database management in the cloud
  • IoT/event-driven/microservices in the cloud
  • Experience with private and public cloud architectures, pros/cons, and migration considerations
  • Design and architect an Azure Data Factory, Azure Databricks, Azure Data Lake
  • Lead the Data Governance Program
  • Extensive hands-on experience implementing data migration and data processing using Azure services:
    Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks, Azure Data Catalog, ML Studio, AI/ML, Azure Functions, ARM Templates, Azure Dev Ops, CI/CD, etc.
  • Cloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.
  • Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation:
    Kafka, Stream Sets, Attunity, Golden Gate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
  • Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, Auto Scaling is a plus
  • Experience developing and deploying ETL solutions on Azure
  • Strong in Power BI, Java, C##, Spark, PySpark, Unix shell/Perl scripting
  • Familiarity with the technology stack available in the industry for metadata management:
    Data Governance, Data Quality, MDM, Lineage, Data Catalog, etc.
  • Multi-cloud experience a plus - Azure, AWS, Google
  • Proven ability to build, manage and foster a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Excellent communication (written and oral) and interpersonal skills
  • Excellent leadership and management skills
  • Excellent organizational, multi-tasking, and time-management skills
  • Proven ability to work independently and lead the onsite offshore team towards the project plan
    • #J-18808-Ljbffr
    Position Requirements
    10+ Years work experience
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