Senior ETL & Data Integration Engineer - Remote

Bright Vision Technologies; Overland Park (KS); A distancia; USD 115.000 - 175.000; Jornada completa

Descripción de la vacante

Bright Vision Technologies is seeking an experienced ETL Developer for a 100% remote role in the U.S. The position requires 5+ years of ETL expertise, strong SQL, and hands-on work with cloud data platforms.

You will design and optimize enterprise ETL pipelines to support BI, analytics, and regulatory reporting. You will collaborate with data architects, cloud engineers, and BI developers to build scalable data integration frameworks, automate workflows, and ensure trusted data across the

Formación

• Five or more years developing enterprise ETL solutions.
• Advanced SQL development across SQL Server, Oracle, PostgreSQL, Snowflake, or Teradata.
• Hands-on experience with cloud data platforms (Azure Data Factory, AWS Glue, GCDF).
• Experience with ETL tools such as Informatica PowerCenter, SSIS, Talend, IBM DataStage, Pentaho.

Responsabilidades

• Design, develop, and maintain enterprise ETL/ELT pipelines.
• Build data ingestion workflows from relational DBs, cloud apps, APIs, files.
• Develop transformation logic for cleansing and enrichment of large datasets.
• Optimize batch and near real-time ETL processing for reporting.
• Implement SCD, CDC, and incremental loading techniques.

Conocimientos

5+ years experience

Advanced SQL

ETL design

Data warehousing

Python scripting

Agile/SDLC

Herramientas

Informatica PowerCenter

SSIS

Talend

IBM DataStage

Pentaho

Descripción del empleo

Bright Vision Technologies is seeking an experienced ETL Developer for a 100% remote role in the U.S. The position requires 5+ years of ETL expertise, strong SQL, and hands-on work with cloud data platforms.

You will design and optimize enterprise ETL pipelines to support BI, analytics, and regulatory reporting. You will collaborate with data architects, cloud engineers, and BI developers to build scalable data integration frameworks, automate workflows, and ensure trusted data across the