AWS Data Engineer

Bright Vision Technologies • Frisco, TX

3d • $115,000 - $165,000 • Remote

About The Position

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, analytics, and decision-making. The work includes data integration, modeling, quality, performance, and governance. The successful candidate will apply practical expertise in AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, Python, SQL, and data pipeline orchestration, work with cross-functional teams, and contribute to reliable, maintainable solutions through the delivery lifecycle.

This is a remote, full-time, direct W2 position. The salary range is $115,000–$165,000 annually. The role requires 4+ years of related experience. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.

Requirements

• Typically 4+ years in a related professional role; the exact threshold must match the approved requisition.
• Practical experience with AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, Python, SQL, and data pipeline orchestration.
• Professional experience in data engineering, analytics, data management, or the platform area relevant to the role.
• Strong SQL skills and practical experience with the data technologies identified for the position.
• Understanding of data modeling, ETL/ELT, data validation, and integration patterns.
• Experience with data quality, security, access controls, and production support.
• Ability to translate business requirements into accurate and maintainable data solutions.
• Strong analytical, documentation, and stakeholder communication skills.

Nice To Haves

• Additional hands-on depth in AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, Python, SQL, and data pipeline orchestration.
• Experience with cloud services, automation, and modern delivery practices relevant to the project.
• Familiarity with secure development, accessibility, governance, or regulatory requirements where applicable.
• Relevant professional certifications or advanced training in the role’s technology 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed