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Cloudera Impala Jobs (NOW HIRING)

MMI

Hadoop Administrator

New York, NY · On-site

Experience with the Cloudera Hadoop distribution Experience with Hive, MapReduce, YARN, Spark, Sentry, Oozie, Sqoop, Flume, HBase, Impala, etc. Experience troubleshooting applications and application ...

MMI

Hadoop Administrator

New York, NY · On-site

... Cloudera Hadoop distribution • Experience with Hive, MapReduce, YARN, Spark, Sentry, Oozie, Sqoop, Flume, HBase, Impala, etc. • Experience troubleshooting applications and application code • ...

Ruri Software Technologies LLC

Sr Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Big Query, Cloud Composer, Data Fusion) • In-depth knowledge of SQL (plSQL, Hive, Impala, Oracle) and databases • Experience with Big Data processing frameworks and tools (Cloudera, Sqoop, Hive ...

Photon

Sr Java Big Data Developer- Tampa FL

Orlando, FL · On-site

$53.50 - $68.25/hr

Expertise in Bigdata ecosystem (Cloudera Distribution) using spark and Map Reduce * Java (core) 1.8 ... Hive, Impala, Yarn, Kafka * Good Data analysis and programing skills and understanding of large ...

ClifyX

BigData Administrator / Lead

Tampa, FL · On-site

... Impala, Solr • Strong knowledge and experience in Linux Operating system and shell scripts • Installation and configuration of Hadoop cluster using Cloudera CDH on Linux based machines • ...

Apex Systems

Hadoop Engineer

Chicago, IL · On-site

Expert-level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper, and Postgres. * Experience with monitoring, alerting, and job ...

IndSoft Inc

Hadoop Administartor

Bridgewater, NJ · On-site

Cloudera Certification CCA 500 is preferred. Experience with IMPALA and Spark. Experience maintaining, troubleshooting and setup large clusters. Thorough knowledge of current hardware systems ...

IndSoft Inc

Hadoop Administartor

Bridgewater, NJ · On-site

... Cloudera Certification CCA 500 is preferred. • Experience with IMPALA and Spark. • Experience maintaining, troubleshooting and setup large clusters. • Thorough knowledge of current hardware ...

Compunnel

VINOF 514 HADOOP ENGINEER

Princeton, NJ · On-site

Involve in Architecture, design & development of Hadoop-based solutions with Hadoop -Cloudera ... Kafka, Flume, Hive, Spark, Impala, Sqoop Oozie, HBase, Zookeeper, HUE. Creates, maintains and ...

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How much do cloudera impala jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for cloudera impala in the United States is $60.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $72.84 per hour, depending on experience, location, and employer.

What is Cloudera Impala?

Cloudera Impala is an open-source, massively parallel processing (MPP) SQL query engine designed for processing large volumes of data stored in Apache Hadoop clusters. It allows users to run low-latency, interactive SQL queries directly on data stored in Hadoop Distributed File System (HDFS) and Apache HBase, without needing to move or transform the data. Impala is optimized for speed and is commonly used for business intelligence and analytics workloads. It integrates with other Hadoop ecosystem tools and supports standard SQL, making it accessible to users familiar with relational databases.

What are the key skills and qualifications needed to thrive as a Cloudera Impala developer?

To thrive as a Cloudera Impala Developer, you need strong expertise in SQL, big data concepts, and experience with Hadoop ecosystems, often supported by a relevant computer science degree or Cloudera certifications. Familiarity with Impala, Hive, HDFS, and tools like Cloudera Manager is typically required to manage and optimize data querying and analytics workflows. Analytical thinking, problem-solving, and effective communication are valuable soft skills that help in translating business requirements into scalable data solutions. These abilities ensure efficient data processing, high-performance querying, and successful collaboration in data-driven environments.

What are some common challenges faced by Cloudera Impala engineers when optimizing query performance?

Cloudera Impala engineers often encounter challenges related to optimizing query performance, such as handling large-scale datasets, tuning resource allocation, and managing data partitioning. Balancing query speed with system resource usage requires a strong understanding of Impala's execution engine, as well as experience with distributed computing environments. Regular collaboration with data engineers and administrators is essential to identify bottlenecks, adjust configurations, and ensure data is modeled for efficient querying. Proactive monitoring and continuous performance tuning are key aspects of this role.

What is the difference between Cloudera Impala vs Apache Spark Developer?

AspectCloudera ImpalaApache Spark Developer
Primary FocusReal-time SQL query engine for big dataData processing and analytics using Spark framework
Skills & CertificationsSQL, Hadoop ecosystem, Cloudera certificationsScala, Java, Spark certifications, Big Data skills
Work EnvironmentHadoop clusters, data warehousesDistributed computing environments, cloud platforms
Usage in IndustryData analytics, reporting, BI toolsData engineering, machine learning, ETL processes

Cloudera Impala is optimized for fast SQL queries on big data, ideal for analytics and reporting. Apache Spark developers focus on building data processing pipelines and machine learning models. Both roles require big data skills but serve different purposes within the data ecosystem.

More about Cloudera Impala jobs

What job categories do people searching Cloudera Impala jobs look for?

The top searched job categories for Cloudera Impala jobs are:

Cloudera Impala jobs near you
Infographic showing various Cloudera Impala job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 1% Part Time, and 13% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $125,110 per year, or $60.1 per hour.

Hadoop Administrator

New York, NY • On-site

MMI
Manufacturing • 11 - 50 employees
Learn more about MMIexternal

Contractor

Re-posted 4 days ago

Job description

Company Description

Our client, a global financial services firm and a market leader in securities, asset management and credit services, is seeking a Hadoop Administrator/ Engineer.


Job Description

Job Title: Hadoop Administrator/ Engineer 

Location: New York, NY

Position Type: Contract


Role:

Manage several Hadoop clusters in development and production environments

Monitoring and troubleshooting of hardware and software services

Install new software releases, system upgrades, patches, and evaluation of stability

Tuning of servers, applications and Hadoop infrastructure

Work with users, engineering groups, and vendor support for troubleshooting


Qualifications:

Strong UNIX/Linux knowledge including the ability to understand the interaction between applications, HW, and operating system and to provide recommendations and suggestions related to troubleshooting and performance improvement.

Experience with the Cloudera Hadoop distribution

Experience with Hive, MapReduce, YARN, Spark, Sentry, Oozie, Sqoop, Flume, HBase, Impala, etc.

Experience troubleshooting applications and application code

Experience with cluster maintenance tasks such as creation and removal of nodes, cluster monitoring and troubleshooting

Strong experience in Unix Shell, Perl, and python scripting

Thank you,

Nanda Kishore

|Phone: 646-300-7063 |


Qualifications

Hadoop and Cloudera

Additional Information

All your information will be kept confidential according to EEO guidelines.

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