Remote AWS Data Engineer | Data Pipelines & Analytics

Bright Vision Technologies; Dallas (TX); Remote; USD 115,000 - 165,000; Full time

Job summary

Bright Vision Technologies is seeking an AWS Data Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations and analytics. You will develop data pipelines and governance across AWS S3, Glue, Redshift, Athena, and EMR.

Collaborating with cross-functional teams, you will ensure data quality, security, performance, and maintainability throughout the delivery lifecycle.

Qualifications

• 4+ years in a data engineering or related role
• Proficient with AWS data services (S3, Glue, Redshift, Athena, EMR)
• Strong SQL and data modeling skills
• Experience with ETL/ELT, data quality, and governance
• Ability to translate requirements into robust data solutions
• Experience with production support and security controls

Responsibilities

• Design, build, and maintain data pipelines and transformations
• Translate source-to-target and business requirements into data solutions
• Implement data quality checks, access controls, and monitoring
• Tune SQL and processing jobs for performance and cost
• Document data definitions, lineage, and operational procedures

Skills

SQL skills

Analytical thinking

Stakeholder communication

Documentation

Tools

AWS S3

AWS Glue

Amazon Redshift

Amazon Athena

AWS EMR

Lake Formation

Python

SQL

Data pipeline orchestration

Job description

Bright Vision Technologies is seeking an AWS Data Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations and analytics. You will develop data pipelines and governance across AWS S3, Glue, Redshift, Athena, and EMR.

Collaborating with cross-functional teams, you will ensure data quality, security, performance, and maintainability throughout the delivery lifecycle.