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Cloudera Impala Jobs (NOW HIRING)

Hadoop & Cloudera , Ecosystem (CDP/CDH, HDFS, YARN, MapReduce) * Spark & Data Processing(Spark Core ... Big Data Tools (Hive,Impala, HBase) * Programming (Python / Scala / Shell) * Data Storage & File ...

$150K - $180K/yr

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc ), can ...

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for ...

$150K - $180K/yr

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc ), can ...

$150K - $180K/yr

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc ), can ...

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc ), can ...

$150K - $180K/yr

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc ), can ...

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Cloudera Impala information

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$104

How much do cloudera impala jobs pay per hour?

As of Jun 14, 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 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 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, and why are they important?

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 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:
Infographic showing various Cloudera Impala job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 1% Part Time, and 11% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $125,110 per year, or $60.1 per hour.
Cloud Admin

Full-time

Posted 24 days ago


Job description

Hi,
Please find the requirement details below and let me know your interest. Thanks
Role : Cloudera Admin
Location : Orange County, California or Coppell, Texas
Duration : 6- Months
Urgent need in Orange County, California or Coppell, Texas.
Must sit onsite and prefers engineer with Cloudera Certification!
Job Description:
• Large, enterprise insurance client is needing a Cloudera/Hadoop Engineer.
• We are looking for a Certified Cloudera Hadoop Engineer with great communications.
• This person will need experience with Redhat Linux RHEL 7x.
• Experience with Cloudera Impala and experience with Data Encryption tools KMS/KTS.