Data Science Engineer
Bright Vision Technologies Frisco, Texas, United States · $115K–$165K/yr
Information Technology & Services · 11-50 employees
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About the role
The Data Science Engineer will design, build, and maintain data pipelines, models, and platform components to support enterprise operations and analytics. They are responsible for ensuring data quality, implementing security controls, and translating business requirements into reliable technical solutions.
What they look for
Requirements
Candidates must have at least 4 years of professional experience in data engineering or analytics with strong proficiency in Python and SQL. The role requires practical expertise in feature pipelines, model lifecycle management, and the ability to translate business needs into maintainable data architectures.
Full description
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.
Job Title: Data Science Engineer
Location: Remote
Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]
Salary Range: $115,000–$165,000 Annually
Experience Required: 4+ years
Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.
Job Summary
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, work with cross-functional teams, and contribute to reliable, maintainable solutions through the delivery lifecycle.
Key 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.
Required Qualifications
- Experience Required: typically 4+ years in a related professional role; exact threshold must match the approved requisition.
- Practical experience with the role-specific technology stack: 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 this 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.
Preferred Qualifications
- 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.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact Harry at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
