Bright Vision Technologies
Hadoop Solutions Developer
Sacate, Arizona · Senior · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$13,714 more — $113,714 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $113,714 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Phoenix-Mesa-Chandler, AZ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We are seeking an experienced Hadoop Developer 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.
Responsibilities
- Design, develop, and operate end-to-end big-data pipelines on Hadoop, ingesting data from a diverse mix of relational, file-based, streaming, and API-driven sources.
- Build robust ETL/ELT workflows using Apache Spark, Hive, Pig, and Sqoop, with strong attention to data quality, idempotency, error handling, and recoverability.
- Develop high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink, and integrate them with downstream analytical and operational systems.
- Optimize Spark and MapReduce jobs through careful tuning of partitioning, memory, serialization, and skew handling to meet demanding SLAs at minimal cost.
- Design and maintain data models and storage layouts on HDFS, Hive, HBase, and modern lakehouse formats (Parquet, ORC, Delta, Iceberg, Hudi) to balance flexibility and performance.
- Implement data governance, lineage, and quality controls in collaboration with data governance and security teams.
- Build robust monitoring, alerting, and logging strategies for big-data pipelines, including job-level SLAs and proactive failure detection.
- Partner with data scientists and analysts to deliver curated, reliable, and well-documented datasets that accelerate their work.
- Lead performance reviews and architecture audits of existing pipelines, proposing concrete refactoring and optimization initiatives.
- Document data architectures, schemas, pipeline behaviors, and operational runbooks in a way that makes the platform supportable as the team scales.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
- 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.
- Experience with workflow orchestration tools such as Airflow or Oozie.
- Experience Required: 6+ years
Nice to have
- 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.
Skills
- Hadoop Solutions Developer - Remote
- This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
- Hadoop Solutions Developer
- 100% Remote (U.S.)
Compensation
- $100,000-$150,000 Annually
Benefits
- Learn more about Bright Vision Technologies at www.bvteck.com.
- Bright Vision Technologies is an
Company info
- We are unable to sponsor new H-1B visa petitions for this position.
Equal opportunity
- Equal Opportunity Employer.
- Equal Employment Opportunity (EEO) Statement
Visa & Work Authorization
- We are unable to sponsor new H-1B visa petitions for this position.
This listing is sourced directly from Bright Vision Technologies's careers page and normalized into a canonical job model.