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Code Monkey Jobs (NOW HIRING)

Opal

Software Engineer

San Francisco, CA · On-site

$140K - $250K/yr

Think creatively: you're not a code monkey or a bot following specs. You question requirements, propose better approaches, and care about the "why" behind what you're building. * Thrive in undefined ...

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How much do code monkey jobs pay per hour?

As of May 30, 2026, the average hourly pay for code monkey in the United States is $29.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $34.62 per hour, depending on experience, location, and employer.

What is a Code Monkey job?

A Code Monkey is a slang term for a programmer who primarily writes code without significant involvement in higher-level software design or decision-making. They focus on implementing tasks assigned by senior developers or project managers. While the role may be seen as repetitive, it provides valuable coding experience and can serve as a stepping stone to more advanced software development positions.

What are the key skills and qualifications needed to thrive in the Code Monkey position, and why are they important?

To thrive as a Code Monkey, you need solid programming fundamentals, proficiency in languages like Java, Python, or C#, and a degree in computer science or related field. Familiarity with version control systems (e.g., Git), integrated development environments (IDEs), and debugging tools is often required. Attention to detail, willingness to accept feedback, and effective communication skills are key soft skills for this role. These competencies ensure that Code Monkeys can efficiently produce quality code, collaborate within development teams, and adapt to evolving project requirements.

What are some typical responsibilities and challenges faced by a Code Monkey?

A Code Monkey is primarily responsible for writing, updating, and maintaining code based on specifications provided by senior developers or project managers. Typical challenges include managing repetitive coding tasks, fixing bugs under tight deadlines, and adapting to shifting priorities in fast-paced development environments. Teamwork is essential, as Code Monkeys often collaborate closely with their peers and take direction from more experienced engineers. The role provides a valuable opportunity to build technical skills, gain exposure to larger codebases, and learn software development best practices, which can pave the way for advancement into more senior or specialized roles.
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Code Monkey jobs near you
Hadoop Admin

Hadoop Admin

Avani Technology Solutions, Inc.

Phoenix, AZ • On-site

Full-time

Posted 23 days ago

Job description

We are looking for a Hadoop Admin for a contract that can last for years.
Position : Hadoop Admin
Location : Phoenix, AZ
Duration : 6 Months plus
This will be purely Hadoop administration NOT development with exposure to the Map-R distribution system and about 60% proficiency in Linux administration. Here is a little bit more about the position:
Top Three Skills:
1. Hadoop Administration (NOT hadoop development) and Map-R (map-reduce)
2. 50-60% Proficiency in Linux Administration
Nice to Have: automation skills
  1. Responsible for implementation and support of the Enterprise Hadoop environment.
  2. Involves designing, capacity planning, cluster set up, monitoring, structure planning, scaling and administration of Hadoop components ((YARN, MapReduce, HDFS, HBase, Zookeeper, Storm, Kafka, Spark, Pig and Hive)
  3. Work closely with infrastructure, network, database, business intelligence and application teams to ensure business applications are highly available and performing within agreed on service levels.
  4. Accountable for performance tuning and resource management of Hadoop clusters and MapReduce routines.
  5. Strong Experience with LINUX based systems & scripting (either of Shell, Perl or Python).
  6. Experience with configuration management tools like puppet, chef or salt.
  7. Strong Experience with Configuring Security in Hadoop using Kerberos or PAM.
  8. Good knowledge of directory services like LDAP & ADS and Monitoring tools like Nagios or Icinga2.
  9. Strong troubleshooting skills of Hive, Pig, Hbase and JAVA Mapreduce codes/jobs.
  10. Evaluate technical aspects of any change requests pertaining to the Cluster.
  11. Research, identify and recommend technical and operational improvements resulting in improved reliability efficiencies in developing the Cluster.

For this role, they will be digging in on how much the hadoop admins knows from an architecture perspective, and asking if they're hands on.. this is not a code monkey job. The team will be trying to see what the candidates understand, and what they've actually.
If they have Map-R that's a plus, or any other distribution, if they understands the distribution architecture they will be fine
This role will involve a lot of hands on scripting, at least shell scripting and good linux skills and configuration and performance tuning, and integration, and Hadoop eco system tools.

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