ZipRecruiter

Log In

2

Remote Data Mining Jobs in Cumming, GA (NOW HIRING)

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Flexible work environment and remote work options. Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform! This position is open to multiple engagement ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

The role combines building new pipelines and data models with providing real coverage on critical ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

The role combines building new pipelines and data models with providing real coverage on critical ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

CRH

Master Data Analyst - Remote

Atlanta, GA · Remote

$85K - $95K/yr

Job Location This role will be remote, based in the US, with periodic domestic travel. Job Responsibilities * Analyze master data trends to identify opportunities for improved data quality, accuracy ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · On-site +1

$150K - $165K/yr

The role combines building new pipelines and data models with providing real coverage on critical ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and support, preferably in Telecom domain Experience in Telco OSS (desirable) BluePlanet experience Neo4j data ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual will be responsible for recreating existing reports from Oracle to Neo4j. Data has already been ...

Fm Talent Source

Data Analyst

Atlanta, GA · On-site +1

Position Summary The Data Analyst supports the analysis, interpretation, and reporting of ... Remote work permitted only under approved or contingency conditions Compensation Range: The salary ...

Total Performance Consulting

Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices. * We foster a service-oriented, highly collaborative environment where ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business ...

previous pagenext page

Showing results 21-40

All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Cumming, GA

Remote Data Mining information

See Cumming, GA salary details

$41K

$147.2K

$217.2K

How much do remote data mining jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data mining in Cumming, GA is $147,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,700.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

What are popular job titles related to Remote Data Mining jobs in Cumming, GA?

For Remote Data Mining jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Remote Data Mining jobs in Cumming, GA look for?

The top searched job categories for Remote Data Mining jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Remote Data Mining jobs?

Cities near Cumming, GA with the most Remote Data Mining job openings:

Remote Data Mining jobs near you

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 29 days ago

Job description

Who We Are:

We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.


What We Are Looking For:

We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.


Responsibilities:

Data Pipeline Development and Management:

  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:

  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:

  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:

  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:

  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:

  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.


Qualifications:

  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.


Preferred Skills:

  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).


What We Offer:

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.


Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!


This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.


This position is open to direct candidates only. We are not working with third-party agencies.


Candidates must be U.S. Citizens or Green Card holders.


Apply