Analytics Engineer

Bright Vision Technologies; Frisco (TX); Remoto; USD 115.000 - 165.000; Tempo integral

Resumo da vaga

Bright Vision Technologies is seeking an Analytics Engineer to design, develop, test, and support enterprise data solutions using SQL, Python/Scala, ETL/ELT, data modeling, Spark, orchestration, and cloud data platforms.

The role requires 4+ years of experience and strong collaboration with product, architecture, QA, and operations teams in a remote, full-time setting. You will translate requirements into robust data pipelines, participate in code reviews, and ensure production readiness.

Qualificações

• 4+ years in a related professional role.
• Experience with SQL, Python/Scala, ETL/ELT, data modeling, Spark or equivalent processing, orchestration, and cloud data platforms.
• Experience building or supporting production software using core technologies.
• Strong fundamentals in software design, data structures, and maintainable code.
• Experience with APIs, integrations, data stores, and testing practices.
• Working knowledge of Git and structured development workflows.
• Ability to troubleshoot defects and communicate technical findings.
• Experience collaborating with cross-functional teams in an Agile environment.

Responsabilidades

• Design, develop, test, and maintain application components using the approved technology stack.
• Translate functional and technical requirements into maintainable code, APIs, interfaces, or user-facing features.
• Integrate applications with databases, external services, and enterprise systems using appropriate standards.
• Participate in code reviews, automated testing, debugging, and performance improvement.
• Collaborate with product, architecture, QA, and operations teams through release and production support.

Conhecimentos

SQL

Python/Scala

ETL/ELT

Data modeling

Spark

Orchestration

Cloud data platforms

APIs

Testing practices

Git

Agile/Iterative delivery

Cross-functional collaboration

Ferramentas

Git

Descrição da vaga

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: Analytics 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 Analytics Engineer to design, develop, test, and support enterprise software applications and services using the technology stack relevant to the project. The work spans implementation, API and data integration, code quality, release readiness, and production troubleshooting. 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

• Design, develop, test, and maintain application components using the approved technology stack.

• Translate functional and technical requirements into maintainable code, APIs, interfaces, or user-facing features.

• Integrate applications with databases, external services, and enterprise systems using appropriate standards.

• Participate in code reviews, automated testing, debugging, and performance improvement.

• Collaborate with product, architecture, QA, and operations teams through release and production support.

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 building or supporting production software using the core technologies relevant to this role.

• Strong understanding of programming fundamentals, software design, data structures, and maintainable code.

• Experience with APIs, integrations, data stores, and appropriate testing practices.

• Working knowledge of Git or another source-control system and structured development workflows.

• Ability to troubleshoot defects and communicate technical findings clearly.

• Experience collaborating with cross-functional teams in an Agile or iterative delivery environment.

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.