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Bright Vision Technologies

Senior Data Engineer

Bright Vision Technologies, a technology consulting and software development firm delivering enterprise, data, AI, and cloud solutions nationwide, is looking for a Senior Data Engineer. This…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
USD 155,000 - 175,000/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz1h agoEmployer posted Oct 18, 2026
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Applications0
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About This Role

Bright Vision Technologies, a technology consulting and software development firm delivering enterprise, data, AI, and cloud solutions nationwide, is looking for a Senior Data Engineer. This is a full-time, direct W2 position offering a salary between $155,000 and $175,000 annually, operating on a 100% remote basis within the United States. The person in this role will oversee the complete lifecycle of data engineering, encompassing the architecture, creation, and sustainment of…

Job Description

Bright Vision Technologies, a technology consulting and software development firm delivering enterprise, data, AI, and cloud solutions nationwide, is looking for a Senior Data Engineer. This is a full-time, direct W2 position offering a salary between $155,000 and $175,000 annually, operating on a 100% remote basis within the United States.

The person in this role will oversee the complete lifecycle of data engineering, encompassing the architecture, creation, and sustainment of robust distributed processing systems, enterprise data platforms, and scalable data pipelines. These solutions feed analytics, machine learning, and business intelligence across diverse business areas. Daily responsibilities involve transforming business and analytical needs into solid data architectures, building dependable ELT and ETL pipelines, deploying cloud-native data systems, and managing them throughout their operational life.

The ideal candidate collaborates closely with software engineers, solution architects, business analysts, data scientists, DevOps personnel, and other stakeholders within an Agile framework. Applicants must have at least six years of professional experience and meet specific citizenship or visa eligibility guidelines, as the employer accepts U.S. citizens, green card holders, EAD holders, and H-1B transfer candidates, but cannot sponsor new H-1B visa petitions.

Responsibilities

  • Architect, design, develop, and maintain enterprise-grade data platforms and distributed data processing systems
  • Build scalable data pipelines supporting machine learning, business intelligence, and analytics initiatives
  • Translate business and analytical requirements into reliable data architectures
  • Develop reliable ETL and ELT data pipelines
  • Deploy cloud-native data solutions and support them across their operational lifespan
  • Collaborate with data scientists, software engineers, business analysts, solution architects, DevOps engineers, and stakeholders in an Agile setting

Requirements

  • At least 6 years of professional experience
  • Five or more years of professional experience designing, developing, and supporting production-grade enterprise data engineering solutions, ETL pipelines, and cloud-based data platforms
  • Demonstrable understanding of data structures, database design, distributed computing, data modeling, ETL methodologies, data warehousing, and large-scale data architecture principles
  • Advanced working knowledge of Python, SQL, Spark, Scala, Java, and enterprise data engineering frameworks
  • Production-level experience with batch processing, streaming data pipelines, data lakes, and cloud-native data platforms using tools like Databricks, Snowflake, Apache Spark, Kafka, or Airflow
  • Experience with relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MySQL, MongoDB, or Cassandra
  • Proficiency with Git-based version control, CI/CD pipelines, DevOps practices, release management, infrastructure automation, and Agile development methodologies
  • Hands-on experience deploying analytics solutions and data platforms on AWS, Azure, or Google Cloud Platform

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Mathematics, or a closely related technical discipline
  • Experience designing and implementing event-driven architectures and real-time streaming platforms like Kafka, Flink, NiFi, or RabbitMQ
  • Familiarity with containerization, orchestration, and Infrastructure as Code using Docker, Kubernetes, Terraform, or Helm
  • Exposure to distributed systems concepts including fault tolerance, eventual consistency, distributed transactions, and the CAP theorem
  • Experience implementing data governance frameworks, master data management, data lineage, metadata management, and DataOps practices

Core Skills

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the location and remote policy for this role?

This position is 100% remote within the United States.

What is the salary range for the Senior Data Engineer position?

The annual salary range is $155,000 to $175,000.

Does Bright Vision Technologies offer visa sponsorship?

The company accepts U.S. citizens, green card holders, EAD holders, and H-1B transfer candidates, but is unable to sponsor new H-1B visa petitions for this role.

How can I apply for this position?

You can send your resume or contact the employer at (908) 676-4399 for immediate consideration.

Sample Interview Questions

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Posted by Bright Vision Technologies

Source: Himalayas

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Posted by employer: Oct 18, 2026

Added to Jobsiz: Oct 20, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

Bright Vision Technologies

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