Senior Data engineer

Bright Vision Technologies•Bridgewater, NJ

3d•Remote

About The Position

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 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. We are seeking a highly skilled Senior Data Engineer with over 7 years of experience in designing, building, and optimizing data pipelines and architectures. The ideal candidate will have strong expertise in modern data platforms, cloud technologies, and big data frameworks, with a proven ability to deliver scalable solutions that empower analytics and business intelligence.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field .
7+ years of experience in data engineering, big data, or related roles .
Strong proficiency in: SQL, Python, Scala, or Java
Big Data frameworks : Spark, Hadoop, Kafka
Cloud services : AWS (Glue, Redshift, EMR), Azure (Data Factory, Synapse), GCP (BigQuery, Dataflow)
Data modeling and warehousing : Snowflake, Redshift, Synapse, BigQuery
Experience with workflow orchestration tools (Airflow, Prefect, Dagster).
Solid understanding of data governance, lineage, and security practices .
Hands-on experience with CI/CD pipelines and DevOps practices for data engineering.

Nice To Haves

Exposure to machine learning pipelines and MLOps.
Experience with containerization (Docker, Kubernetes) .
Knowledge of real-time data streaming and event-driven architectures.
Relevant certifications (AWS Data Analytics, Azure Data Engineer Associate, GCP

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Architect and optimize data warehouses, data lakes, and lakehouse solutions .
Collaborate with data scientists, analysts, and business stakeholders to ensure data availability, quality, and reliability .
Implement data governance, security, and compliance standards across platforms.
Monitor and improve data pipeline performance, scalability, and fault toler
Work with cloud platforms (AWS, Azure, GCP) to deploy and manage data solutions.
Integrate data from diverse sources including APIs, streaming platforms, and enterprise systems.

Benefits

Opportunity to work with leading enterprise clients
Transparent H-1B process and long-term project visibility
Strong recruiter and legal support
Career growth across multiple technology domains we are committed to providing equal employment opportunities and fostering an inclusive work environment.
We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status.
If you require accommodations during the recruitment process, please let us know.
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.