Remote Data Science Engineer: Pipelines & MLflow

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

Benefits offered by this job

Remote work option

Job summary

Bright Vision Technologies is seeking a Data Science Engineer to design, build, validate, and support data solutions that enable trusted information for enterprise operations, analytics, and decision-making. You will work with Python, SQL, feature pipelines, and MLflow, collaborate with cross‑functional teams, and contribute to reliable, maintainable data products throughout the delivery lifecycle.

This role requires 4+ years of relevant experience and offers competitive compensation with

Qualifications

• 4+ years in a related professional role.
• Experience with Python, SQL, feature pipelines, model integration, MLflow, deployment, and monitoring.
• Strong SQL skills and experience with data technologies.
• Ability to translate business requirements into data solutions.
• Excellent analytical, documentation, and stakeholder communication skills.

Responsibilities

• Develop and maintain data pipelines, transformations, reports, models, or platform components.
• 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

Python

SQL

Data modeling

ETL/ELT

Deployment

Monitoring

Data governance

Stakeholder communication

Tools

MLflow

Job description

Bright Vision Technologies is seeking a Data Science Engineer to design, build, validate, and support data solutions that enable trusted information for enterprise operations, analytics, and decision-making. You will work with Python, SQL, feature pipelines, and MLflow, collaborate with cross‑functional teams, and contribute to reliable, maintainable data products throughout the delivery lifecycle.

This role requires 4+ years of relevant experience and offers competitive compensation with