Designs, builds, and operates large-scale Hadoop-based data pipelines and analytics platforms. Responsibilities include ingesting, transforming, and analyzing structured and unstructured data; developing Spark-based processing solutions; supporting streaming workloads; managing workflow orchestration; and ensuring production systems are reliable, performant, fault-tolerant, and cost-effective. The role also involves troubleshooting, debugging, documentation, and collaboration on cloud, lakehouse, governance, Kubernetes, and infrastructure-as-code data platforms.
Big Data Engineer – Remote
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: Big Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $90,000–$110,000 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 experienced Big Data Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments
Required Qualifications
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected]
Bright Vision Technologies is an Equal Opportunity Employer.
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: Big Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $90,000–$110,000 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 experienced Big Data Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Five or more years of professional experience designing and operating big-data pipelines on Hadoop.
- Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments.
- Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
- Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.
- Strong SQL skills and experience working with both relational and NoSQL data stores.
- Experience with workflow orchestration tools such as Airflow or Oozie.
- Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
- Strong scripting skills in Python or Shell.
- Excellent troubleshooting, debugging, and documentation skills.
- Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks.
- Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi).
- Exposure to data governance tooling such as Apache Atlas or Collibra.
- Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino).
- Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected]
Bright Vision Technologies is an Equal Opportunity Employer.
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
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