The Role
Architects and develops enterprise data platforms, scalable ETL/ELT pipelines, distributed processing systems, data lakes, streaming solutions, and cloud-native architectures. Designs data models, warehouses, and databases while optimizing performance, reliability, security, and governance. Collaborates with data scientists, analysts, software engineers, DevOps teams, architects, and stakeholders in Agile environments. Supports production systems, troubleshoots complex issues, and applies CI/CD, DevOps, DataOps, and infrastructure automation practices.
Summary Generated by Built In
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $155,000–$175,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an accomplished Senior Data Engineer to architect, design, develop, and maintain enterprise-grade data platforms, scalable data pipelines, and distributed data processing systems that support analytics, business intelligence, and machine learning initiatives across multiple business domains. In this role, you will be responsible for the end-to-end data engineering lifecycle, from translating business and analytical requirements into robust data architectures, to developing reliable ETL/ELT pipelines, to deploying cloud-native data solutions and supporting them throughout their operational lifespan. The successful candidate will bring deep expertise in data engineering, distributed computing, cloud data platforms, and database technologies, combined with strong hands-on experience building scalable, secure, and high-performance data solutions. You will work closely with data scientists, business analysts, software engineers, solution architects, DevOps engineers, and stakeholders in an Agile environment to deliver high-quality, reliable, and governed data platforms that directly support strategic business outcomes.
Required Qualifications
Preferred Qualifications
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $155,000–$175,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an accomplished Senior Data Engineer to architect, design, develop, and maintain enterprise-grade data platforms, scalable data pipelines, and distributed data processing systems that support analytics, business intelligence, and machine learning initiatives across multiple business domains. In this role, you will be responsible for the end-to-end data engineering lifecycle, from translating business and analytical requirements into robust data architectures, to developing reliable ETL/ELT pipelines, to deploying cloud-native data solutions and supporting them throughout their operational lifespan. The successful candidate will bring deep expertise in data engineering, distributed computing, cloud data platforms, and database technologies, combined with strong hands-on experience building scalable, secure, and high-performance data solutions. You will work closely with data scientists, business analysts, software engineers, solution architects, DevOps engineers, and stakeholders in an Agile environment to deliver high-quality, reliable, and governed data platforms that directly support strategic business outcomes.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Mathematics, or a closely related technical discipline.
- Five or more years of professional experience designing, developing, and supporting production-grade enterprise data engineering solutions, ETL pipelines, and cloud-based data platforms.
- Strong, demonstrable understanding of data structures, database design, distributed computing, data modeling, ETL/ELT methodologies, data warehousing concepts, and large-scale data architecture principles.
- Advanced working knowledge of Python, SQL, Spark, Scala, Java, and enterprise data engineering frameworks used to build scalable, high-performance data processing solutions.
- Hands-on, production-level experience designing and operating batch processing, streaming data pipelines, data lakes, and cloud-native data platforms using technologies such as Databricks, Snowflake, Apache Spark, Kafka, Airflow, or equivalent solutions.
- Proven experience working with relational and NoSQL databases including PostgreSQL, SQL Server, Oracle, MySQL, MongoDB, Cassandra, or equivalent database technologies, including schema design, query optimization, indexing strategies, and performance tuning.
- Strong SQL skills and meaningful experience designing dimensional models, star schemas, snowflake schemas, data marts, partitioning strategies, indexing, and enterprise-scale data warehouse solutions.
- Solid experience with Git-based version control, CI/CD pipelines, DevOps practices, release management, infrastructure automation, and Agile software development methodologies supporting enterprise data engineering initiatives.
- Hands-on experience deploying enterprise data platforms and analytics solutions on AWS, Azure, or Google Cloud Platform, including managed storage, compute, networking, security, identity management, and data integration services.
- Strong troubleshooting, analytical thinking, debugging, root-cause analysis, communication, and documentation skills, with the ability to investigate complex data processing issues methodically and implement scalable, maintainable engineering solutions.
Preferred Qualifications
- Experience designing and implementing event-driven architectures, real-time data streaming platforms, Apache Kafka, Apache Flink, Apache NiFi, RabbitMQ, or equivalent enterprise messaging and streaming technologies.
- Familiarity with containerization, orchestration, Infrastructure as Code, and cloud-native deployment practices using Docker, Kubernetes, Terraform, Helm, or equivalent enterprise automation technologies.
- Exposure to distributed systems concepts including eventual consistency, fault tolerance, distributed transactions, data replication, partitioning strategies, CAP theorem, high availability, and large-scale data processing architectures.
- Experience implementing data governance frameworks, master data management (MDM), data lineage, metadata management, data quality automation, security compliance, and DataOps best practices within enterprise cloud and Agile development environments.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Mathematics, or a closely related technical discipline
- Five or more years of professional experience designing, developing, and supporting production-grade enterprise data engineering solutions, ETL pipelines, and cloud-based data platforms
- Strong understanding of data structures, database design, distributed computing, data modeling, ETL/ELT methodologies, data warehousing, and large-scale data architecture
- Advanced working knowledge of Python, SQL, Spark, Scala, Java, and enterprise data engineering frameworks
- Production experience with batch processing, streaming pipelines, data lakes, and cloud-native data platforms
- Experience with Databricks, Snowflake, Apache Spark, Kafka, Airflow, or equivalent technologies
- Experience with relational and NoSQL databases, including schema design, query optimization, indexing, and performance tuning
- Strong SQL skills and experience designing dimensional models, star schemas, snowflake schemas, data marts, partitioning strategies, and enterprise data warehouses
- Experience with Git-based version control, CI/CD pipelines, DevOps practices, release management, infrastructure automation, and Agile methodologies
- Experience deploying enterprise data platforms and analytics solutions on AWS, Azure, or Google Cloud Platform
- Strong troubleshooting, analytical thinking, debugging, root-cause analysis, communication, and documentation skills
- Experience with event-driven architectures and real-time streaming technologies such as Kafka, Flink, NiFi, or RabbitMQ
- Familiarity with Docker, Kubernetes, Terraform, Helm, containerization, orchestration, and Infrastructure as Code
- Exposure to distributed systems concepts including eventual consistency, fault tolerance, distributed transactions, replication, partitioning, CAP theorem, and high availability
- Experience implementing data governance, master data management, data lineage, metadata management, data quality automation, security compliance, and DataOps practices
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The Company
What We Do
Bright Vision Technologies is a minority-owned organization founded in July 2020 and based in New Jersey, USA. The company specializes in delivering top-tier staffing and IT consulting services, including custom computer programming and systems design. Additionally, they are a product engineering firm with a flagship AI-powered talent intelligence and enterprise automation platform called Lumina, which helps transform IT into a strategic asset for their valued partners.
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