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Pig Latin Jobs (NOW HIRING)

In-depth knowledge of Hive, HBase, and Pig. * Familiarity with MapReduce and Pig Latin Scripts. * Knowledge of back-end programming languages including JavaScript, Node.js, and OOAD. * Familiarity ...

In-depth knowledge of Hive, HBase, and Pig. * Familiarity with MapReduce and Pig Latin Scripts. * Knowledge of back-end programming languages including JavaScript, Node.js, and OOAD. * Familiarity ...

Experience in analyzing data using HIVEQL, PIG Latin and custom MapReduce programs in JAVA. Extending HIVE and PIG core functionality by using custom UDF's. Experience with resolving performance ...

... Pig Latin scripts Managing and deploying HBase Parallel distributed processing based on the MapReduce paradigm with Apache Spark Experience with Java and shell scripting Experience with jenkins for ...

... Pig Latin scripts Managing and deploying HBase Parallel distributed processing based on the MapReduce paradigm with Apache Spark Experience with Java and shell scripting Experience with jenkins for ...

... Pig Latin scripts Managing and deploying HBase Parallel distributed processing based on the MapReduce paradigm with Apache Spark Experience with Java and shell scripting Experience with jenkins for ...

... Pig Latin scripts Managing and deploying HBase Parallel distributed processing based on the MapReduce paradigm with Apache Spark Experience with Java and shell scripting Experience with jenkins for ...

Pig Latin information

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$33K

$54.8K

$74.5K

How much do pig latin jobs pay per year?

As of Aug 15, 2026, the average yearly pay for pig latin in the United States is $54,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $60,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Pig Latin developer?

To thrive as a Pig Latin Developer, you need a strong background in data processing, scripting, and familiarity with Hadoop-based ecosystems, typically supported by a degree in computer science or a related field. Proficiency in using Apache Pig, Hadoop Distributed File System (HDFS), and related big data tools like Hive and MapReduce is essential. Analytical thinking, attention to detail, and strong problem-solving skills help you optimize complex data workflows and collaborate effectively with data teams. These skills are crucial for efficiently transforming and analyzing large datasets, enabling data-driven decisions in enterprise environments.

What is the difference between Pig Latin vs Data Analyst?

AspectPig LatinData Analyst
Required CredentialsNone specific, often self-taught or online coursesBachelor's degree in statistics, math, or related field
Work EnvironmentData processing, scripting, and programming environmentsOffice setting, analyzing data sets, creating reports
Industry UsageBig data processing, Hadoop ecosystemBusiness intelligence, market research, finance
Common Search/ComparisonOften compared for data processing capabilitiesCompared for data interpretation and reporting skills

While Pig Latin is a scripting language used for big data processing within the Hadoop ecosystem, Data Analysts focus on interpreting data, creating reports, and providing insights. Both roles involve working with data, but Pig Latin is more technical and programming-oriented, whereas Data Analysts emphasize analysis and communication of findings.

What is Pig Latin?

Pig Latin is a language game primarily used in English-speaking countries, where words in English are altered according to a simple set of rules. The most common rule involves moving the initial consonant or consonant cluster of a word to the end of the word and adding 'ay' (for example, 'pig' becomes 'igpay'). It is often used by children for amusement or as a playful way to communicate. Pig Latin is not an actual language, but rather a coded way to transform English words that can be easily learned and spoken.

What are some common challenges faced by professionals working with Apache Pig and Pig Latin in data processing roles?

Professionals using Pig Latin in data processing often encounter challenges such as optimizing script performance for large datasets and troubleshooting complex data transformation errors. Since Pig scripts are translated into MapReduce jobs, understanding how to write efficient code and debug job failures is crucial. Additionally, integrating Pig with other Hadoop ecosystem tools and managing schema evolution can require close collaboration with data engineers and analysts. Staying updated on best practices and leveraging community resources can help overcome these challenges.
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Infographic showing various Pig Latin job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $54,825 per year, or $26.4 per hour.

Big Data, Hadoop Developer

Sarian, Inc.

Newark, DE • On-site

Full-time

Re-posted 25 days ago


Job description

JD:
  • Previous experience as a Hadoop developer or big data engineer.
  • Advanced knowledge of the Hadoop ecosystem and its components.
  • In-depth knowledge of Hive, HBase, and Pig.
  • Familiarity with MapReduce and Pig Latin Scripts.
  • Knowledge of back-end programming languages including JavaScript, Node.js, and OOAD.
  • Familiarity with data loading tools including Squoop and Flume.
  • High-level analytical and problem-solving skills.
  • Good project management and communication skills.