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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Hadoop - **Company:** Bright Vision Technologies - **Location:** Richardson, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $145,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Apache HTTP Server, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Serialization, Data Stores, Data Warehousing, Database Queries, Software Debugging, Distributed Systems, Document-Oriented Databases, Fault Tolerance, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache HBase, Apache Hive, Python (Programming Language), Machine Learning, Microsoft SQL Server, NoSQL, Apache Oozie, Cloud Services, Sqoop, Data Streaming, Unstructured Data, Parquet, Data Logging, Scripting, Snowflake, Apache Spark, Hdinsight, Electronic Medical Records, Kubernetes, Information Technology, Collibra, Apache Flink, Apache Kafka, Operational Systems, Spark Streaming, Data Management, Api Design, Amazon Elastic Mapreduce (EMR), Databricks - **Published:** July 26, 2026 - **Apply:** https://www.careerjet.com/jobad/usc33541ca9f5fd478bc31baa2c9c90943 ## About the Role * 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. Preferred Qualifications * 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. ## Description We are seeking an experienced Senior Data Engineer - Hadoop 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. Key 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. * Automate pipeline orchestration using Airflow, Oozie, or similar workflow engines, with clean dependency management and clear ownership boundaries. * Continuously evaluate and adopt new technologies in the big-data and cloud ecosystem (EMR, Databricks, Snowflake, BigQuery) where they offer meaningful improvements. * 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. * Mentor junior engineers and contribute to the team's engineering standards and best practices., Overview: RealPage is hiring a Senior Data Engineer to join the Front Office - Screening BI and Data Warehouse team. This role owns the SQL Server-based reporting, ETL, and data … + 17 days ago + ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)