1

Data Mining Online Jobs (NOW HIRING)

2245 Data Engineer III

Cincinnati, OH

$109K - $132K/yr

Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. Primary Responsibilities: * Design, construct, install, test and ...

Data Scientist III

San Diego, CA · On-site

$125K - $207K/yr

Typical responsibilities include applying data mining, modeling, natural language processing, and machine learning methods to analyze large structured and unstructured datasets; visualizing ...

Typical responsibilities include applying data mining, modeling, natural language processing, and machine learning methods to analyze large structured and unstructured datasets; visualizing ...

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. * Selecting features, building ...

Responsibilities : • Apply data mining, modeling, NLP, and machine learning to large datasets • Visualize, interpret, and report data findings • Create dynamic and automated reporting products ...

Required Skills: 1) Data Analysis / Modeling. 2) Data mining. 3) Segmentation techniques, statistical analysis. 4) Reporting. 5) Very Large Data Set manipulation. Qualifications Required Skills: 1) ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. * Selecting features, building ...

Showing results 41-60

Data Mining Online information

What are some common challenges faced by professionals working in data mining online, and how can they be addressed?

Professionals in online data mining often encounter challenges such as handling large, unstructured datasets and ensuring data privacy and security. Working remotely, they must also stay updated with rapidly evolving tools and algorithms. Effective solutions include leveraging cloud-based platforms for scalable processing, collaborating closely with IT and data security teams, and participating in regular upskilling through webinars and online courses to maintain technical proficiency.

What is data mining in an online context?

Data mining online refers to the process of using algorithms and statistical methods to analyze large sets of digital data collected from the internet, such as website activity, social media interactions, or online transactions. The goal is to discover patterns, trends, and useful information that can help businesses make informed decisions, improve customer experiences, or detect fraud. Online data mining often involves the use of specialized software and tools to extract and process data from various online sources efficiently.

What is the difference between Data Mining Online vs Data Analyst?

AspectData Mining OnlineData Analyst
Required CredentialsBachelor's in CS, Statistics, or related; certifications like Certified Data Mining SpecialistBachelor's in Data Science, Statistics, or related; often similar certifications
Work EnvironmentPrimarily remote, project-based, often freelance or contractOffice or remote, ongoing analysis roles within organizations
Industry UsageUsed across tech, e-commerce, marketing for extracting insights from online dataUsed in finance, healthcare, marketing for interpreting data trends

Data Mining Online focuses on extracting patterns from online data sources, often in a freelance or remote setting. Data Analysts interpret data within organizations to inform decisions. While both roles require similar skills and credentials, Data Mining Online emphasizes online data sources and often involves project-based work, whereas Data Analysts typically work within a company's data team on ongoing analysis.

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

To thrive as a Data Mining Specialist, you need strong analytical skills, a solid background in statistics, and proficiency in programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with data mining tools such as RapidMiner, Weka, or SAS, as well as database management systems and machine learning frameworks, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and present actionable insights to stakeholders. These skills and qualities are crucial for extracting valuable patterns from large datasets and driving data-driven decision-making in organizations.

How do I become a data mining online?

To become a data miner online, you should develop skills in data analysis, programming languages like Python or R, and familiarity with data mining tools such as RapidMiner or Weka. Gaining knowledge of databases, machine learning, and data visualization can also enhance your qualifications, and completing relevant certifications can improve job prospects.
More about Data Mining Online jobs
What cities are hiring for Data Mining Online jobs? Cities with the most Data Mining Online job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Data Mining Online jobs? States with the most job openings for Data Mining Online jobs include:
What job categories do people searching Data Mining Online jobs look for? The top searched job categories for Data Mining Online jobs are:
Infographic showing various Data Mining Online job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

2245 Data Engineer III

Smart Data

Cincinnati, OH

$109K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

Job Title: Data Engineer III

Location: Cincinnati, OH

Years of Experience: 5+

 

TOP SKILLS:

 Must Have

  • 4+ years of Snowflake
  • Business Intellgience - Data Engineering
  • Data Build Tool (DBT) for Development & Maintenance of Data Models
  • DataStage

Nice To Have

  • Encompass
  • Home Equity Line of Credit (HELOC)
  • Mortgage Lending
  • SAFe Agile


 

What You’ll Do

 Job Summary:

Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.


Primary Responsibilities:

• Design, construct, install, test and maintain data management systems.

• Build high-performance algorithms, predictive models, and prototypes.

• Ensure that all systems meet the business/company requirements as well as industry practices.

• Integrate up-and-coming data management and software engineering technologies into existing data structures.

• Develop set processes for data mining, data modeling, and data production.

• Create custom software components and analytics applications.

• Research new uses for existing data.

• Employ an array of technological languages and tools to connect systems together.

• Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project’s goals.

• Install/update disaster recovery procedures.

• Recommend different ways to constantly improve data reliability and quality.


Qualifications:

• Technical Degree or related work experience

• Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)

• Experience programming and/or architecting a back end language (Java, J2EE, etc)

 

What You’ll Get

SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with a company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • You’ll be eligible to earn referral bonuses!