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Hue Jobs (NOW HIRING)

Databricks, Python (Scripting), Jupyter, Spark, Hue * Oracle PL/SQL, Oracle DBMS, Hadoop DBMS * HTML, CSS, JavaScript * Strong experience navigating complex data environments and structures

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

... 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, and Cloudera Manager ...

Technical Design Manager

Raleigh, NC · On-site

$112K - $113K/yr

The Farnsworth Munsell 100 Hue Test will be used as the benchmark. * Willingness to travel both in the US and globally if required to meet with vendors * Experience with PLM systems preferred. If you ...

Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper, and Postgres * Strong technical knowledge in Unix/Linux;

New

Java Spark Architect

Tampa, FL · On-site

$57.25 - $77.25/hr

Hands-on experience in Map-Reduce, Hive, Hue, Yarn, Sqoop and Oozie * Should have hands-on experience in Java/J2EE, REST Services, NodeJS * Hands on expertise in Core Java - specifically collections ...

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Hue information

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How much do hue jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for hue in the United States is $63.20, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $73.80 per hour, depending on experience, location, and employer.

What are Hue jobs?

Hue jobs typically refer to positions that involve working with Hue, an open-source SQL Assistant for querying databases and visualizing data. Hue professionals may be responsible for setting up, managing, and troubleshooting Hue environments, as well as helping users run queries and generate reports. These roles often require knowledge of SQL, database management, and sometimes experience with big data tools like Apache Hadoop. The goal of a Hue job is to make data exploration easier and more accessible for users across an organization.

What is the difference between Hue vs Data Analyst?

AspectHueData Analyst
Required CredentialsBasic IT skills, familiarity with data visualization toolsBachelor's degree in statistics, data science, or related field; often certifications in data analysis
Work EnvironmentData visualization and dashboard creation, often in IT or data teamsData interpretation, reporting, and analysis across various industries
Employer & Industry UsageTech companies, data teams, business intelligenceFinance, healthcare, marketing, and other sectors requiring data insights

While Hue focuses on creating data visualizations and dashboards, a Data Analyst performs broader data analysis, interpretation, and reporting. Both roles require familiarity with data tools, but Data Analysts typically have more advanced statistical skills and educational background.

What are some common challenges faced by Lighting Designers working with Hue smart lighting systems in commercial projects?

Lighting Designers often encounter challenges when integrating Hue smart lighting systems into commercial environments, such as ensuring seamless compatibility with existing building infrastructure, managing complex network setups, and balancing creative lighting effects with practical energy-efficiency goals. Collaborating closely with IT teams, facility managers, and other designers is essential to address connectivity and security concerns. Additionally, keeping up with regular software updates and troubleshooting potential system glitches are important parts of the role, requiring both technical expertise and strong communication skills.

What are the key skills and qualifications needed to thrive as a Hue, and why are they important?

I'm sorry, but 'Hue' is not recognized as a real-world professional occupation.
More about Hue jobs
What states have the most Hue jobs? States with the most job openings for Hue jobs include:
Infographic showing various Hue job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 3% Part Time, 8% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $131,458 per year, or $63.2 per hour.

Data Analyst

Tech Tammina LLC

Warren, MI • On-site

Other

Posted 12 days ago


Job description

Role: Data Analyst

Location: Warren, MI (Hybrid)
Duration: Long tern

Rate: Market

Key Responsibilities

  • Partner with business subject matter experts to gather and document analytical requirements
  • Prioritize and manage multiple deliverables based on business needs, timelines, and urgency
  • Design and implement analytics solutions that support decision-making and performance tracking
  • Analyze structured and unstructured data to uncover patterns, trends, and inconsistencies
  • Deliver insights through clear reporting and data visualization using Tableau and Power BI
  • Recommend process improvements and advanced analytics solutions to streamline workflows
  • Maintain data quality, security, and performance standards across all reporting systems
  • Develop dashboards, ad hoc reports, and executive-ready summaries of analytical findings
  • Collaborate with internal IT teams, business units, field support, and third-party vendors
  • Document procedures and maintain reporting standards for repeatable tasks and outputs
  • Stay current with evolving analytics tools, technologies, and best practices

Qualifications

  • Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
  • Minimum 5 years of experience in data analytics, business intelligence, or data-driven consulting
  • Experience supporting Sales and Marketing leadership in a dynamic, agile environment
  • Strong written and verbal communication skills, including the ability to present to executives
  • Proven ability to simplify complex problems and develop creative, data-driven solutions
  • Collaborative team player with the ability to influence and work across all organizational levels

Technical Proficiencies

  • Microsoft Office Suite (Excel, Word, PowerPoint)
  • Visual Basic for Applications (VBA)
  • Tableau and Power BI
  • Databricks, Python (Scripting), Jupyter, Spark, Hue
  • Oracle PL/SQL, Oracle DBMS, Hadoop DBMS
  • HTML, CSS, JavaScript
  • Strong experience navigating complex data environments and structures