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Cloudera Impala Jobs (NOW HIRING)

Apex Informatics

ETL Developer

Richmond, VA · On-site

$50.50 - $66/hr

... Spark, Impala, Hive Python. • 3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop ...

Avani Technology Solutions, Inc.

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

... Impala, Spark, HBase, HUE Client is looking for a Big Data, Data Engineer. * This is deployed on the Microsoft Azure platform using core Cloudera technologies such as Cloudera Director 2.1, CDH 5.7, ...

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 ...

Absolute Business Solutions Corp

DevOps Engineer

Aurora, CO · On-site

$53.50 - $73.50/hr

Cloudera Impala, Apache Hive, Google BigQuery, AWS Athena etc.). Desired Experience: * Experience supporting and implementing development standards from a security perspective * Ability to introduce ...

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

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

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How much do cloudera impala jobs pay per hour?

As of Aug 15, 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?

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.

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Cloudera Impala jobs near you
Infographic showing various Cloudera Impala job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 1% Part Time, and 19% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $125,110 per year, or $60.1 per hour.

Big Data Consultant

Avani Technology Solutions, Inc.

Columbus, OH • On-site

Full-time

Re-posted 19 days ago

Job description

Role: Big Data Consultant
Location: Columbus, Ohio
Duration: 6+ Months
Top Three Skills:
1) Hands on experience on data solutions - DW/BI, Data Architecture, Database, Data Security
2) At least 2 years - Hortonworks/Cloudera/MapR
3) At least 6 months - Data consumption tool/database (Hive, Impala, EsGyn, Trifacta, AtScale etc.)
-Trifacta or AtScale exp would be the best
Job Description:
The Big data consumption software engineer will be early members of a growing team with responsibilities for designing and developing highly scale able big data consumption solutions as part of the 3rd party vendor tool or custom build tool. The individual in this role will remediate (hands on) the platform/script related issues, act as SME for the consumption tools. An ideal candidate will have experience on configuration, performance tuning, user setup and onboarding in the tool set. The candidate should have excellent communication skills and able to drive some of the discussion with JPMIS, Vendor GTI partners on tool configuration, installation and performance tuning.
Preferred Qualifications:
- 10+ years of hands on experience on data solutions - DW/BI, Data Architecture, Database, Data Security
- 2+ years of experience in any one of Hortonworks/Cloudera/MapR
- Familiarity with some of the data consumption tool/database (Hive, Impala, EsGyn, Trifacta, AtScale etc.) from HDFS files
- 6+ years of hands on experience on IT support role (L3 support) to fix platform or data related issues
- 6+ experience with Unix/Linux/Java scripting
- 5+ years of experience with new user on boarding to a database system (create and define user class, RSAM & AD roles, host group etc.)
- Strong SQL query writing skills
- Knowledge of standard methodologies, concepts, best practices, and procedures within Big Data environment
- Experience with data architecture and data modeling
- Familiarity with Data Visualization tools like Tableau/QlikView
- Experience working in large complex data environment
- Good communication and presentation skills
Additional Information:
o Candidate should be aware of big data platform- Hortonworks, Cloudera, Mapr- doesn't matter- good 2-3 years of experience in Big data and some experience with the big data consumption
o Self-service tools, so the business users will be developing data transformation logic.
o This individual will be more supporting the platform JPIS- with the infrastructure team; performance testing/tuning. Creating different user groups- work with DTI partners. Not really any development.
o Cloudera and Hortonworks are the top two; no MapR today, but if we have good candidates in that space that is ok. Not an admin of the platform. They will generate the Hive structure and develop a report on top of this, and framework
o Consumption is on our roadmap in the last 2-3 years so there is no one in this role today

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