# Hadoop Data Engineer

> Qode · Texas, United States (Hybrid) · Full-time · Posted 2026-06-18

**Workplace:** hybrid

## Description

**Hadoop Data Engineer** responsible for designing, developing, and maintaining large-scale data processing systems within a distributed Hadoop ecosystem. The role focuses on enabling data-driven decision-making across banking operations, risk management, compliance, and customer analytics.

****Key Responsibilities****

-   Design, develop, and maintain scalable **data pipelines** using Hadoop ecosystem tools (HDFS, Hive, Spark, Sqoop, Kafka).
-   Build and optimize **ETL/ELT processes** to support data ingestion from multiple banking systems.
-   Develop and manage **big data solutions** for structured and unstructured data.
-   Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
-   Ensure **data quality, integrity, and governance** aligned with banking and regulatory standards.
-   Perform performance tuning and optimization of Hadoop/Spark jobs.
-   Implement **data security controls** to comply with financial regulations (e.g., PCI, SOX).
-   Support real-time and batch data processing frameworks.
-   Troubleshoot production issues and provide continuous support for data platforms.
-   Work with cloud platforms (e.g., AWS, Azure) for modern data solutions.

****Required Skills & Qualifications****

****Technical Skills****

-   Strong experience with:
-   **Hadoop ecosystem** (HDFS, MapReduce, Hive, HBase)
-   **Apache Spark (Scala/Python)**
-   **SQL & NoSQL databases**
-   **ETL tools** (Informatica, Talend, or similar)
-   **Kafka or other streaming tools**
-   Proficiency in programming:
-   **Python / Java / Scala**
-   Experience with:
-   Data warehousing concepts
-   Workflow orchestration tools (Airflow, Oozie)
-   Unix/Linux environments
-   Knowledge of **cloud data platforms** (AWS EMR, Azure Data Lake) is a plus

****Domain Knowledge****

-   Understanding of **banking and financial services data**
-   Exposure to **risk, compliance, or fraud analytics** is preferred

****Soft Skills****

-   Strong problem-solving and analytical abilities
-   Excellent communication and collaboration skills
-   Ability to work in Agile/Scrum environments

****Education & Experience****

-   Bachelor’s or Master’s degree in:
-   Computer Science, Information Technology, or related field
-   Typically **5–10 years of experience** in data engineering or big data development

## Apply

[Apply at Qode](https://apply.workable.com/qodeworld/j/EEBFDA3BD6/apply)

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