Hadoop Data Engineer

qode.world

Hadoop Data Engineer responsible for designing and developing data processing systems within a distributed Hadoop ecosystem. Focuses on enabling data-driven decision-making within banking operations and risk management.

Posted 6/18/2026full-timeTexas • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLHadoopHBaseHDFSInformaticaJavaKafkaLinuxMapReduceNoSQLPythonScalaSparkSQLUnix

About the role

Key responsibilities & impact

Responsible for designing, developing, and maintaining large-scale data processing systems within a distributed Hadoop ecosystem
Focuses on enabling data-driven decision-making across banking operations, risk management, compliance, and customer analytics
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

Requirements

What you’ll need

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
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 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
Understanding of banking and financial services data
Exposure to risk, compliance, or fraud analytics is preferred
Strong problem-solving and analytical abilities
Excellent communication and collaboration skills
Ability to work in Agile/Scrum environments

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account qode.world Website LinkedIn All Job Openings 11 - 50 employees 🤖 Artificial Intelligence 👥 HR Tech 🎯 Recruiter Artificial Intelligence
HR Tech
Recruitment qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results. Hadoop Data Engineer Job not on LinkedIn 🔥 4 minutes ago 🏢🏡 Texas – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Airflow Apache AWS Azure Cloud ETL Hadoop HBase HDFS Informatica Java Kafka Linux MapReduce NoSQL Python Scala Spark SQL Unix Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Responsible for designing, developing, and maintaining large-scale data processing systems within a distributed Hadoop ecosystem
Focuses on enabling data-driven decision-making across banking operations, risk management, compliance, and customer analytics
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 🎯 Requirements
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
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 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
Understanding of banking and financial services data
Exposure to risk, compliance, or fraud analytics is preferred
Strong problem-solving and analytical abilities
Excellent communication and collaboration skills
Ability to work in Agile/Scrum environments Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

HadoopHDFSHiveSparkSqoopKafkaETLSQLNoSQLPython

Soft Skills

problem-solvinganalytical abilitiescommunicationcollaborationAgileScrum