Senior Data Engineer - Remote Cloud Data & Analytics

Bright Vision Technologies; Flower Mound (TX); On-site; USD 155,000 - 175,000; Full time

Job summary

Bright Vision Technologies seeks a Senior Data Engineer to architect, design, develop, and maintain enterprise-grade data platforms and scalable pipelines across multiple domains. You will translate business requirements into robust data architectures and reliable ETL/ELT processes that support analytics and ML initiatives.

The role demands expertise in distributed computing, cloud data platforms, and database technologies, plus hands-on experience with AWS/Azure/GCP, Databricks, Snowflake,

Qualifications

• Bachelor's degree in Computer Science, IT, 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 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 experience designing and operating batch and streaming data pipelines, data lakes, and cloud-native platforms using Databricks, Snowflake, Apache Spark, Kafka, Airflow, or equivalents.
• Experience with relational and NoSQL databases including PostgreSQL, SQL Server, Oracle, MySQL, MongoDB, Cassandra, including schema design, query optimization, indexing, and performance tuning.
• Strong SQL skills and experience designing dimensional models, star/snowflake schemas, data marts, indexing, and enterprise data warehousing.
• Experience with Git, CI/CD, DevOps practices, release management, infrastructure automation, and Agile software development for data engineering.
• Hands-on experience deploying data platforms on AWS, Azure, or GCP, with managed storage, compute, security, identity management, and data integration services.
• Strong troubleshooting, analytical thinking, debugging, and documentation skills to resolve complex data processing issues.

Responsibilities

• Architect, design, develop, and maintain enterprise-grade data platforms and scalable pipelines.
• Translate business and analytical requirements into robust data architectures and ETL/ELT pipelines.
• Deploy cloud-native data solutions and support them throughout their operational lifespan with governance and security in mind.

Skills

Python

SQL

Spark

Scala

Java

Data Modeling

Education

Bachelor's degree in a related technical field

Tools

Databricks

Snowflake

Apache Spark

Kafka

Airflow

Job description

Bright Vision Technologies seeks a Senior Data Engineer to architect, design, develop, and maintain enterprise-grade data platforms and scalable pipelines across multiple domains. You will translate business requirements into robust data architectures and reliable ETL/ELT processes that support analytics and ML initiatives.

The role demands expertise in distributed computing, cloud data platforms, and database technologies, plus hands-on experience with AWS/Azure/GCP, Databricks, Snowflake,