Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth. Job Title: Azure Data Engineer Location: Remote Position Type: Full-time, Direct W2 - [Not open to C2C or 1099] Salary Range: $115,000–$165,000 Annually Experience Required: 4+ years Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a Azure Data Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making. The work includes data integration, modeling, quality, performance, and governance. The successful candidate will apply practical expertise in Azure Data Factory, ADLS, Synapse, Azure Databricks, SQL, Python, and cloud data governance, work with cross-functional teams, and contribute to reliable, maintainable solutions through the delivery lifecycle.

Key Responsibilities

Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role. Translate source-to-target and business requirements into validated technical data solutions. Implement data quality checks, access controls, monitoring, and failure-recovery procedures. Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost. Document data definitions, lineage, operational procedures, and technical decisions.

Required Qualifications

Experience Required: typically 4+ years in a related professional role; exact threshold must match the approved requisition. Practical experience with the role-specific technology stack: Azure Data Factory, ADLS, Synapse, Azure Databricks, SQL, Python, and cloud data governance. Professional experience in data engineering, analytics, data management, or the platform area relevant to this role. Strong SQL skills and practical experience with the data technologies identified for the position. Understanding of data modeling, ETL/ELT, data validation, and integration patterns. Experience with data quality, security, access controls, and production support. Ability to translate business requirements into accurate and maintainable data solutions. Strong analytical, documentation, and stakeholder communication skills.

Preferred Qualifications

Additional hands-on depth in Azure Data Factory, ADLS, Synapse, Azure Databricks, SQL, Python, and cloud data governance. Experience with cloud services, automation, and modern delivery practices relevant to the project. Familiarity with secure development, accessibility, governance, or regulatory requirements where applicable. Relevant professional certifications or advanced training in the role’s technology area.

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact Harry at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.