Randstad Digital Americas

Hadoop Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Hadoop Engineer (SME) on a contract basis in Plano, Texas, offering $59.75 - $69.75 per hour. Requires expertise in Hadoop, Spark, Kafka, and Cloudera, along with relevant certifications and experience in Big Data technologies.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
552
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πŸ—“οΈ - Date
July 22, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Plano, TX
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🧠 - Skills detailed
#Perl #Forecasting #Unix #Big Data #Python #Cloudera #Deployment #Scripting #Shell Scripting #HBase #Impala #HDFS (Hadoop Distributed File System) #Hadoop #ML (Machine Learning) #Jenkins #Spark (Apache Spark) #Agile #Data Science #BitBucket #DevOps #Automation #AI (Artificial Intelligence) #Snowflake #Talend #Zookeeper #Databricks #Kerberos #Monitoring #Docker #Java #Jupyter #SQL (Structured Query Language) #Debugging #Oracle #Disaster Recovery #Cloud #Capacity Management #Ansible #Linux #Kafka (Apache Kafka) #YARN (Yet Another Resource Negotiator) #Sybase
Role description
Job Summary Hadoop Engineer (SME) role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, Databricks, Snowflake, Talend, Greenfield, ELK, KPMG Ignite etc. Hadoop Engineer is involved in the full life cycle of an application and part of an agile development process. They require the ability to interact, develop, engineer, and communicate collaboratively at the highest technical levels with clients, development teams, vendors and other partners. The following section is intended to serve as a general guideline for each relative dimension of project complexity, responsibility and education/experience within this role. location: Plano, Texas job type: Contract salary: $59.75 - 69.75 per hour work hours: 8am to 5pm education: Bachelors Responsibilities Hadoop Engineer (SME) role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, Databricks, Snowflake, Talend, Greenfield, ELK, KPMG Ignite etc. Hadoop Engineer is involved in the full life cycle of an application and part of an agile development process. They require the ability to interact, develop, engineer, and communicate collaboratively at the highest technical levels with clients, development teams, vendors and other partners. The following section is intended to serve as a general guideline for each relative dimension of project complexity, responsibility and education/experience within this role. Qualifications Works on complex, major or highly visible tasks in support of multiple projects that require multiple areas of expertise Team member will be expected to provide subject matter expertise in managing Hadoop and Data Science Platform operations with focus around Cloudera Hadoop, Jupyter Notebook, OpenShift, Docker-Container Cluster Management and Administration Integrates solutions with other applications and platforms outside the framework He / She will be responsible for managing platform operations across all environments which includes upgrades, bug fixes, deployments, metrics / monitoring for resolution and forecasting, disaster recovery, incident / problem / capacity management Serves as a liaison between client partners and vendors in coordination with project managers to provide technical solutions that address user needs Hadoop, Kafka, Spark, Impala, Hive, Hbase etc. Strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator's role Intimate knowledge of fully integrated AD/Kerberos authentication Experience setting up optimum cluster configurations Debugging knowledge of YARN. Hands-on with analyzing various Hadoop log files, compression, encoding, file formats Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper and Postgres Strong technical knowledge: Unix/Linux; Database (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure. Experience in Monitoring Alerting, and Job Scheduling Systems Being comfortable with frequent, incremental code testing and deployment Strong grasp of automation / DevOps tools - Ansible, Jenkins, SVN, Bitbucket Experience working on Big Data Technologies Cloudera Admin / Dev Certification Certification in Cloud, Docker-Container, OpenShift Technologies Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.