Remote Lead Data Engineer - Pipelines, Modeling & Governance

Bright Vision Technologies; Edison (NJ); A distancia; USD 115.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work flexibility

Descripción de la vacante

Bright Vision Technologies is seeking a Lead Data Engineer to design, build, validate, and support data solutions that enable enterprise operations, analytics, and decision-making. The work includes data integration, modeling, quality, performance, and governance across cloud data platforms.

The role requires 7+ years of experience, strong SQL and Python/Scala, ETL/ELT, data modeling, Spark or equivalent processing, orchestration, and experience delivering maintainable data solutions in a

Formación

• 7+ years of professional data engineering experience.
• Strong SQL skills and experience with Python/Scala.
• Hands-on with ETL/ELT, data modeling, and Spark or equivalent processing.
• Experience with orchestration and cloud data platforms.

Responsabilidades

• 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.

Conocimientos

SQL

Python/Scala

ETL/ELT

Data Modeling

Spark

Orchestration

Cloud Data Platforms

Herramientas

Airflow

dbt

Descripción del empleo

Bright Vision Technologies is seeking a Lead Data Engineer to design, build, validate, and support data solutions that enable enterprise operations, analytics, and decision-making. The work includes data integration, modeling, quality, performance, and governance across cloud data platforms.

The role requires 7+ years of experience, strong SQL and Python/Scala, ETL/ELT, data modeling, Spark or equivalent processing, orchestration, and experience delivering maintainable data solutions in a