Data Engineer

Bright Vision Technologies; United States; A distancia; USD 115.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equal Opportunity Employer

Descripción de la vacante

Bright Vision Technologies is seeking a Data Engineer to design, build, validate, and support data solutions for enterprise operations, analytics, and decision-making. The role covers data integration, modeling, quality, performance, and governance, with focus on SQL, Python/Scala, ETL/ELT, and cloud data platforms.

The successful candidate will collaborate with cross-functional teams and deliver reliable, maintainable data solutions across the delivery lifecycle.

Formación

• 4+ years of professional data engineering experience.
• Hands-on experience with SQL, Python/Scala, ETL/ELT, data modeling, Spark or similar processing, orchestration, and cloud data platforms.
• Experience in data engineering, analytics, data management, or related platform areas.
• Strong SQL skills and practical data technologies experience.
• Understanding of data modeling, ETL/ELT, validation, and integration patterns.
• Experience with data quality, security, access controls, and production support.
• Ability to translate business requirements into reliable data solutions.
• Strong analytical, documentation, and stakeholder communication abilities.

Responsabilidades

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

Conocimientos

SQL

Python/Scala

ETL/ELT

Data modeling

Spark

Orchestration

Cloud data platforms

Data quality

Security & access controls

Production support

Analytical skills

Documentation

Stakeholder communication

Descripción del empleo

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 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 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 SQL, Python/Scala, ETL/ELT, data modeling, Spark or equivalent processing, orchestration, and cloud data platforms, 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: SQL, Python/Scala, ETL/ELT, data modeling, Spark or equivalent processing, orchestration, and cloud data platforms.

• 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 SQL, Python/Scala, ETL/ELT, data modeling, Spark or equivalent processing, orchestration, and cloud data platforms.

• 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.

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.