Bright Vision Technologies · 10 hours ago
Azure Data Engineer
United States
Full-time
Remote
Senior Level
7+ years expBright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking a skilled Azure Data Engineer to design, build, and optimize enterprise-grade data solutions on Microsoft Azure, focusing on data architecture, ETL pipelines, and analytics.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologySoftware
Responsibilities
Design and implement scalable data architectures using Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake
Develop logical and physical data models, ensuring normalization, dimensional modeling, and schema optimization
Implement data governance, lineage, and cataloging using Azure Purview
Build and manage ETL/ELT pipelines using Azure Data Factory (ADF)
Integrate structured, semi-structured, and unstructured data from multiple sources (on-prem, cloud, APIs)
Optimize ingestion pipelines for batch and real-time streaming data using Azure Event Hub and Azure Stream Analytics
Work with distributed data processing frameworks (Databricks, Spark, Hadoop)
Implement advanced analytics solutions, including machine learning pipelines in Azure ML
Enable self-service BI through Power BI dashboards and semantic models
Deploy and manage data solutions using Infrastructure as Code (IaC) with ARM templates, Terraform, or Bicep
Integrate CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions
Ensure high availability, disaster recovery, and performance tuning of data systems
Implement role-based access control (RBAC), encryption, and data masking
Ensure compliance with GDPR, HIPAA, and enterprise security standards
Monitor and audit data usage with Azure Monitor and Log Analytics
Partner with data scientists, analysts, and business stakeholders to deliver insights
Mentor junior engineers and enforce coding/data standards
Drive best practices in data engineering and cloud adoption
Qualification
Required
Bachelor's/Master's in Computer Science, Data Engineering, or related field
7+ years in data engineering, with at least 4+ years on Azure cloud
Azure Synapse, Azure SQL, Azure Data Lake, Azure Data Factory
Databricks, Spark, Python, SQL, Scala
Event Hub, Stream Analytics, Cosmos DB
Power BI for visualization and reporting
Strong knowledge of data warehousing, ETL, and big data concepts
Strong analytical and problem-solving skills
Excellent communication and stakeholder management
Ability to lead projects and work in Agile/Scrum environments
Microsoft Certified: Azure Security Engineer Associate (AZ-500)
Microsoft Certified: Azure Administrator Associate (AZ-104)
Databricks Certified Data Engineer Professional
AWS Certified Data Analytics – Specialty (for multi-cloud exposure)
Google Professional Data Engineer (for hybrid/multi-cloud strategies)
Candidates must be eligible for new H-1B filing
OPT, STEM OPT, CPT (with required experience), H-1B transfer, EAD
Benefits
Opportunity to work with leading enterprise clients
Transparent H-1B process and long-term project visibility
Strong recruiter and legal support
Career growth across multiple technology domains
Company
Bright Vision Technologies
Bright Vision Technologies is an information technology company that offers software development, AI, and cybersecurity services.
51-200 employees
H1B Sponsorship
Bright Vision Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (41)
2024 (14)
2023 (7)
2022 (12)
2021 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase