Remote Azure Data Engineer — Data Pipelines & Governance

Bright Vision Technologies; United States; Remote; USD 115,000 - 165,000; Full time

Job summary

Bright Vision Technologies is seeking an Azure Data Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations and analytics. You will implement data integration, modeling, quality, performance, and governance using Azure Data Factory, ADLS, Synapse, and Azure Databricks.

The role requires 4+ years of experience, strong SQL, data modeling, ETL/ELT, and production support.

Qualifications

• 4+ years in a related professional data role.
• Hands-on with Azure Data Factory, ADLS, Synapse, Azure Databricks, SQL, Python.
• Experience in data engineering, analytics, or data management.
• Strong SQL and data tech proficiency.
• Knowledge of data modeling, ETL/ELT, and integration patterns.
• Experience with data quality, security controls, and production support.
• Ability to translate business requirements into maintainable data solutions.
• Strong analytical, documentation, and stakeholder communication skills.

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.

Skills

SQL

Data modeling

ETL/ELT

Data validation

Data integration

Data quality

Security & access controls

Production support

Stakeholder communication

Documentation

Tools

Azure Data Factory

ADLS

Synapse

Azure Databricks

SQL

Python

Job description

Bright Vision Technologies is seeking an Azure Data Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations and analytics. You will implement data integration, modeling, quality, performance, and governance using Azure Data Factory, ADLS, Synapse, and Azure Databricks.

The role requires 4+ years of experience, strong SQL, data modeling, ETL/ELT, and production support.