Data Science Engineer
About The Position
Bright Vision Technologies is seeking a Data Science 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 Python, SQL, feature pipelines, model integration, MLflow or equivalent lifecycle tools, deployment, and monitoring. The role works with cross-functional teams and contributes to reliable, maintainable solutions throughout the delivery lifecycle.
Requirements
- Typically 4+ years in a related professional role; the exact threshold must match the approved requisition.
- Practical experience with Python, SQL, feature pipelines, model integration, MLflow or equivalent lifecycle tools, deployment, and monitoring.
- 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 Python, SQL, feature pipelines, model integration, MLflow or equivalent lifecycle tools, deployment, and monitoring.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
