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Cloudera Impala Jobs (NOW HIRING)

Damco Solutions

Python - Pyspark Engineer

$57 - $75.50/hr

CloudEra exp preferred • HIve, Pyspark, python, Impala • Hadoop architecture • Sql • kudu Qualifications : Required : • Big Data Architect Hadoop • Hive • Scala • Spark • PySpark ...

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop . * Design and implement high-performance data storage and retrieval solutions . * Troubleshoot and resolve ...

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop . * Design and implement high-performance data storage and retrieval solutions . * Troubleshoot and resolve ...

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop . * Design and implement high-performance data storage and retrieval solutions . * Troubleshoot and resolve ...

Cloudera, Inc.

Senior Software Engineer

San Jose, CA · On-site

$143K - $189K/yr

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... Work daily with a high-impact stack featuring Apache Iceberg, Spark, Impala, and Hive. * Work on ...

Sarian, Inc.

Big Data, Hadoop Developer

Newark, DE · On-site

... Big data(Cloudera). * Excellent working experience in HDFS, Hadoop, Sqoop, Spark, Impala and Unix Shell scripting. * Good knowledge in Python. * Exposure to and strong working knowledge on ...

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, ...

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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.

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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.

Python - Pyspark Engineer

Damco Solutions

Remote

$57 - $75.50/hr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Damco Solutions is seeking a Python - Pyspark Engineer. The primary responsibilities include working with big data technologies such as Hadoop, Hive, and Spark, as well as developing data processing solutions using Python and Pyspark.
Responsibilities:
• Big Data Architect Hadoop, Hive, Scala, Spark, PySPark. Airflow and Kafka exp preferred. CloudEra exp preferred
• HIve, Pyspark, python, Impala
• Hadoop architecture
• Sql
• kudu
Qualifications:
Required:
• Big Data Architect Hadoop
• Hive
• Scala
• Spark
• PySpark
• Airflow and Kafka experience preferred
• CloudEra experience preferred
• Hive
• PySpark
• Python
• Impala
• Hadoop architecture
• SQL
• Kudu
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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