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Bright House Jobs (NOW HIRING)

Bright Vision Technologies

AI Data Engineer

Bolingbrook, IL · Remote

$113K - $136K/yr

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary: 100K - 150K Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for ...

Bright Vision Technologies

Kafka Engineer

Bolingbrook, IL · On-site

$79K - $106K/yr

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Salary: 100K - 150K Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for ...

New

Bright Vision Technologies

AWS Cloud

$57 - $76.25/hr

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified ...

Bright Vision Technologies

SDET Engineer

$100K - $150K/yr

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Salary Range : $100k to $150k per annnum Sponsorship: No new H1B sponsorship available. H1B ...

Bright Vision Technologies

Senior Backend Developer

$123K - $160K/yr

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary: 100K to 150K Sponsorship: No new H1B sponsorship available. H1B transfers welcomed ...

Bright Vision Technologies

Cloud Architect (Multi-Cloud)

$66.50 - $84.75/hr

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 8+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified ...

Bright Vision Technologies

MuleSoft Developer

$51.50 - $68.25/hr

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary : 100 K - 150 K Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed ...

Bright Vision Technologies

AEM Developer

Prosper, TX · On-site

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Salary: 100k - 150k Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for ...

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How much do bright house jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for bright house in the United States is $22.95, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.04 per hour, depending on experience, location, and employer.

Is Brighthouse Financial a real company?

Brighthouse Financial is a legitimate insurance company that offers retirement, life, and annuity products. It is a publicly traded company and operates as a subsidiary of MetLife, with a focus on financial stability and customer service. If applying for a job there, candidates should review the company's official website and industry reports for accurate information.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as successful entrepreneurs, top-tier investment bankers, and certain specialized medical professionals like neurosurgeons. These roles typically require extensive experience, advanced skills, and often involve high levels of responsibility and long hours.

What are Bright House jobs?

Bright House jobs typically refer to positions at Bright House Networks, a telecommunications company that provided cable TV, internet, and phone services before merging with Charter Communications (now Spectrum). Roles at Bright House ranged from customer service representatives and field technicians to sales and network engineers. Employees were responsible for ensuring reliable service delivery, assisting customers, and maintaining network infrastructure. Since the merger, similar roles are now available under the Spectrum brand, offering opportunities in technical support, installation, sales, and corporate functions.

What are some common challenges faced by employees working at Bright House, and how can new hires prepare for them?

Employees at Bright House often operate in a fast-paced, customer-focused environment, where adapting to evolving client needs and managing multiple tasks simultaneously can be challenging. New hires may find it helpful to develop strong time management and communication skills to navigate these demands effectively. Collaborating closely with team members and staying updated on company protocols will also support a smoother transition into the role. Additionally, proactively seeking feedback and embracing opportunities for ongoing learning can help overcome initial challenges and contribute to long-term success.

What is the difference between Bright House vs Cable Technician?

AspectBright HouseCable Technician
CredentialsHigh school diploma, technical trainingHigh school diploma, technical training
Work EnvironmentCustomer homes, service vansCustomer homes, service vans
Industry UsageTelecommunications, cable servicesTelecommunications, cable services
Job RoleCustomer service, installation, troubleshootingInstallation, maintenance, troubleshooting

Bright House employees and Cable Technicians both work in the telecommunications industry, often performing installation and troubleshooting in customer homes. The main difference lies in employment status; Bright House refers to the company, while Cable Technician describes the role performed by employees or contractors within such companies.

What are the key skills and qualifications needed to thrive as a Bright House employee, and why are they important?

To thrive as a Bright House employee, you typically need strong customer service skills, sales acumen, and a high school diploma or equivalent. Familiarity with CRM software, point-of-sale systems, and telecommunications products is often required. Excellent communication, problem-solving skills, and the ability to work well in a team help set top performers apart. These competencies ensure high-quality customer interactions, efficient service delivery, and successful achievement of business goals.

Is Brighthouse Financial in trouble today?

Bright House, as a job role, does not have information indicating the company's current financial status. Brighthouse Financial is a separate insurance company, and its financial stability can be checked through industry reports or official financial disclosures. Job seekers should focus on the company's reputation, benefits, and work environment when considering employment opportunities.
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Bright House jobs near you

AI Data Engineer

Bright Vision Technologies

Bolingbrook, IL • Remote

$113K - $136K/yr

Full-time

Posted 6 days ago

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled AI Data Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Data Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Salary: 100K – 150K
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Key Responsibilities
  • Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
  • Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals.
  • Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale.
  • Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training.
  • Build high-throughput data loading systems that maximize GPU utilization during training.
  • Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems.
  • Design storage architectures balancing cost, throughput, and latency across data tiers.
  • Build evaluation dataset construction pipelines with strict integrity and contamination controls.
  • Implement data privacy, redaction, and consent enforcement throughout the pipeline.
  • Collaborate with ML researchers and engineers to align data systems with model development needs.
  • Drive observability of data quality, drift, and pipeline health across the AI data estate.
  • Optimize cost and performance through compression, format selection, and caching strategies.
  • Document data systems, schemas, and operational procedures for broad internal use.
  • Stay current with AI data infrastructure research and emerging open-source tools.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.

Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.

How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to hilda@bvteck.com
Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”

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.

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