Data Platform Engineer
About The Position
Bright Vision Technologies is seeking an experienced Data Platform Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms using Hadoop and related big-data ecosystems. The role involves ingesting, transforming, and analyzing large volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The successful candidate will apply Hadoop ecosystem expertise and software engineering fundamentals to deliver reliable, performant, and cost-effective data platforms in production environments. This is a full-time, direct W2 position that is 100% remote within the United States. The listed annual salary range is $100,000–$150,000. Candidates who are U.S. citizens, Green Card holders, EAD holders, or eligible for an H-1B transfer are encouraged to apply; the employer is unable to sponsor new H-1B visa petitions.
Requirements
- At least 5 years of professional experience designing and operating big-data pipelines on Hadoop.
- Strong hands-on production expertise with Apache Spark using Scala, Python, or Java.
- 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 with relational and NoSQL data stores.
- Experience with workflow orchestration tools such as Airflow or Oozie.
- Understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
- Strong scripting skills in Python or Shell.
- Excellent troubleshooting, debugging, and documentation skills.
Nice To Haves
- Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks.
- Familiarity with lakehouse formats such as Delta, Iceberg, or Hudi.
- Exposure to data governance tools such as Apache Atlas or Collibra.
- Experience with Kubernetes-based data platforms, including Spark-on-K8s or Trino.
- Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows.
Responsibilities
- Design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems.
- Ingest, transform, and analyze structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads.
- Deliver reliable, performant, and cost-effective data platforms in production environments.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
