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Remote Data Extraction Jobs in Georgia (NOW HIRING)

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... data integrity issues.Responsible for application administration (extraction). Identifies ... This position is not located in the aforementioned locations but applications for remote work may ...

... data warehousing concepts and ETL processes • Strong problem-solving skills and attention to ... Primarily remote with occasional travel to office locations as needed • Flexible working hours to ...

... data warehousing concepts and ETL processes • Strong problem-solving skills and attention to ... Primarily remote with occasional travel to office locations as needed • Flexible working hours to ...

Solid understanding of data warehousing concepts and ETL processes * Strong problem-solving skills ... Hybrid role: Primarily remote with occasional travel to office locations as needed * Flexible ...

New

Data & Reporting Management • Extract, validate, and analyze financial data from internal systems ... Hybrid or remote work structure (if applicable). • Occasional cross-functional meetings with ...

Senior Digital Engineer - Apriso

Atlanta, GA · On-site +1

$82.08K - $193.44K/yr

Remote anywhere in US. About the job you're considering: We are seeking a highly experienced Apriso ... NET engineering, enterprise integrations, ETL pipelines, and multisite MES/ERP orchestration. Your ...

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Remote Data Extraction information

What are the key skills and qualifications needed to thrive as a Remote Data Extraction Specialist, and why are they important?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

What job categories do people searching Remote Data Extraction jobs in Georgia look for? The top searched job categories for Remote Data Extraction jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Extraction jobs? Cities in Georgia with the most Remote Data Extraction job openings:

Oracle GoldenGate Solution Engineer

ImagineX Consulting

Atlanta, GA • On-site, Remote

Full-time

Posted 17 days ago


Job description

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients - spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.
We're seeking an Oracle GoldenGate Solution Engineer who can design, operationalize, and support enterprise-grade CDC pipelines across heterogeneous environments. This role is ideal for someone who thrives in complex data ecosystems, understands the nuances of real-time data movement, and can partner across teams to deliver resilient, scalable integration patterns. You'll play a key role in modernizing data flows, enabling real-time analytics, and strengthening enterprise data platforms. This is a 100% remote full-time opportunity. Key Responsibilities
  • Design, build, and operationalize CDC pipelines using Oracle GoldenGate to support near real-time data movement across platforms (e.g., DB2, Oracle → Snowflake, Kafka, Iceberg).
  • Configure and manage GoldenGate Extract, Replicat, and Trail processes across z/OS, distributed systems, and cloud environments.
  • Administer and support GoldenGate environments (on-prem and AWS), ensuring high availability, performance tuning, and platform stability across dev/test/prod.
  • Monitor CDC pipelines and proactively troubleshoot replication issues, including latency, failures, and data consistency gaps; execute restarts, backfills, and replays.
  • Collaborate with DBA, Data Platform, Infrastructure, and Security teams to onboard new pipelines, manage dependencies, and align with enterprise data priorities.
  • Support full pipeline lifecycle activities: environment setup, configuration, testing, cutover, and post-production stabilization across multiple concurrent programs.
  • Implement automation, observability, and CI/CD integration for CDC pipelines, including logging, monitoring (e.g., Splunk), and standardized deployment patterns using Terraform or similar tools.
  • Develop and maintain runbooks, standards, and patterns to scale GoldenGate adoption and reduce reliance on vendor support.
Required Experience & Skills
  • Strong hands-on experience with Oracle GoldenGate in enterprise environments.
  • Deep understanding of CDC patterns, replication internals, and heterogeneous data movement.
  • Experience supporting GoldenGate across z/OS, distributed systems, and cloud (AWS).
  • Proficiency in troubleshooting replication issues, performance tuning, and ensuring data consistency.
  • Experience with automation, observability, and CI/CD for data pipelines.
  • Familiarity with infrastructure-as-code tools such as Terraform.
  • Strong collaboration skills and the ability to work across multiple technical teams.
  • Excellent documentation habits and operational discipline.
Nice-to-Have Skills (Differentiators)
  • Experience integrating GoldenGate with Kafka or other streaming platforms; exposure to event-driven or data mesh architectures.
  • Familiarity with enterprise security integrations (e.g., Entra ID / OAuth, RBAC).
  • Experience with Python or Java for scripting or pipeline tooling.
  • Exposure to enterprise integration tools supporting ETL, CDC, and ESB patterns.
Who Thrives Here
  • Engineers who enjoy solving complex data movement challenges at enterprise scale.
  • Professionals who value clarity, structure, and operational excellence.
  • Builders who want to modernize data ecosystems and enable real-time analytics.
  • Team players who collaborate deeply across platform, infrastructure, and security domains.
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