Remote Senior Data Engineer — Data Pipelines & Cloud

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

Job summary

Bright Vision Technologies is seeking a Senior Data Engineer to design, build, validate, and support data solutions that enable enterprise operations, analytics, and decision-making. The role covers data integration, modeling, quality, performance, and governance, using SQL, Python/Scala, ETL/ELT, Spark, orchestration, and cloud data platforms.

The successful candidate will collaborate with cross-functional teams to deliver reliable, maintainable data solutions through the full data lifecycle.

Qualifications

• 6+ years of professional data engineering experience.
• Hands-on with SQL, Python/Scala, ETL/ELT, data modeling, Spark, and orchestration in cloud data platforms.
• Experience in data governance, quality, security, and production support.
• Ability to translate business requirements into data solutions.
• Strong analytical 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

Strong SQL

Data analysis

Documentation

Stakeholder communication

Tools

Python/Scala

ETL/ELT

Spark

Cloud data platforms

Orchestration

Job description

Bright Vision Technologies is seeking a Senior Data Engineer to design, build, validate, and support data solutions that enable enterprise operations, analytics, and decision-making. The role covers data integration, modeling, quality, performance, and governance, using SQL, Python/Scala, ETL/ELT, Spark, orchestration, and cloud data platforms.

The successful candidate will collaborate with cross-functional teams to deliver reliable, maintainable data solutions through the full data lifecycle.