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Data Mining Jobs in Fort Lauderdale, FL (NOW HIRING)

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Data Mining information

See Fort Lauderdale, FL salary details

$48.6K

$66.7K

$84.8K

How much do data mining jobs pay per year?

As of May 28, 2026, the average yearly pay for data mining in Fort Lauderdale, FL is $66,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,400.00 and $81,000.00 per year, depending on experience, location, and employer.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

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

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.
More about Data Mining jobs
What are popular job titles related to Data Mining jobs in Fort Lauderdale, FL? For Data Mining jobs in Fort Lauderdale, FL, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Fort Lauderdale, FL look for? The top searched job categories for Data Mining jobs in Fort Lauderdale, FL are:
What cities near Fort Lauderdale, FL are hiring for Data Mining jobs? Cities near Fort Lauderdale, FL with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Fort Lauderdale, FL as of May 2026, with employment types broken down into 5% As Needed, 12% Full Time, 81% Part Time, and 2% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,688 per year, or $32.1 per hour.

QA Engineer

Futran Tech Solutions Pvt. Ltd.

Fort Lauderdale, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

QA Engineer

Duration: Long term

Location: Ft. Lauderdale, FL

Skills and Experience Required:
  • Bachelor's degree in Computer Science, Software Engineering, or a related field
  • At least 5-7 years of experience in automation development and testing
  • Strong experience in test automation development for full stack components
  • API / UI automation Skills:
    • Strong programming skills in languages such as Java, Python, or C#
    • Experience in UI Automation using Selenium
    • Experience with REST API using REST Assured framework
    • Experience with Git source control tools such as Bitbucket and GitHub
  • ETL / backend testing skills:
    • Strong working knowledge of ETL process and industry wide tools used for data validation, ex - QuerySurge, Talend, Informatica, data stage
    • Hands on experience with ingestion / extraction
    • Knowledge of Data Masking, Data Integration, Data Mapping
    • Proficient with SQL and well-formed understanding of data, data modeling, data mining and ETL processes
    • Define and establish Data Quality standards for the data driven implementations on Hadoop platform and SQL Server.
    • Knowledge of Unix/Linux system.
    • Nice to have: Hive, Pig and Hadoop Streaming, HBase, HDFS
  • Experience in Agile development methodologies and continuous integration/continuous delivery (CI/CD) pipelines
  • Knowledge of software testing principles and best practices
  • Strong analytical and problem-solving skills
  • Ability to research problems and provide recommendations.
  • Excellent communication and collaboration skills
  • General knowledge of bank and technology standards (e.g.

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