Remote Data Warehouse Developer — Cloud & Data Pipelines

Bright Vision Technologies; Sunnyvale (CA); Remote; USD 115,000 - 165,000; Full time

Job summary

Bright Vision Technologies is seeking a Data Warehouse Developer to design, build, validate, and support data solutions for enterprise operations, analytics, and decision-making. The role emphasizes data integration, modeling, quality, performance, and governance across cloud data platforms.

The candidate will work with cross-functional teams, apply expertise in SQL, Python/Scala, ETL/ELT, orchestration, and maintain reliable, maintainable data solutions through the delivery lifecycle.

Qualifications

• Experience with SQL, Python/Scala, ETL/ELT, data modeling, Spark or equivalent processing, orchestration, and cloud data platforms.
• Strong SQL skills and practical experience with the data technologies identified for the position.
• Experience in data engineering, analytics, data management, or corresponding platform area.

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

Python/Scala

ETL/ELT

Data modeling

Spark

Orchestration

Cloud data platforms

Job description

Bright Vision Technologies is seeking a Data Warehouse Developer to design, build, validate, and support data solutions for enterprise operations, analytics, and decision-making. The role emphasizes data integration, modeling, quality, performance, and governance across cloud data platforms.

The candidate will work with cross-functional teams, apply expertise in SQL, Python/Scala, ETL/ELT, orchestration, and maintain reliable, maintainable data solutions through the delivery lifecycle.