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Data Extraction Jobs in Georgia (NOW HIRING)

Strong analytical skills with the ability to extract, organize, analyze, and interpret complex data sets * Experience with: * Machine Learning * Predictive Modeling * Statistical Analysis * Data ...

Online Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

The Data Engineer position applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. They create data collection frameworks for ...

Online Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

The Data Engineer position applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. They create data collection frameworks for ...

Key Responsibilities Data Extraction, Validation, and Analysis * Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate ...

Key Responsibilities Data Extraction, Validation, and Analysis * Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate ...

Key Responsibilities Data Extraction, Validation, and Analysis * Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate ...

Key Responsibilities Data Extraction, Validation, and Analysis * Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate ...

Data Engineer

Atlanta, GA · On-site

$112K - $152K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

Infrastructure Data Analytics Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data extraction * Data transformation * Data quality validation * Automation workflows * API integrations * Design and maintain Alteryx workflows for data preparation, blending, and analytics ...

Troubleshoot data extraction, transformation, and integration issues and improve reliability. About you You communicate integration designs, constraints, and status clearly to customers and internal ...

Write complex SQL queries for data extraction, transformation, validation, and reporting. * Help implement basic monitoring, logging, and error handling for data pipelines. * Support the ingestion ...

Our team leverages AI across development workflows and uses it to extract insights from both structured data and unstructured sources such as raw text, and you will apply these capabilities in your ...

CDCE Data Analyst

Atlanta, GA · On-site

$70 - $90/hr

Data extraction and validation * Performance metrics and trend analysis * Reporting and dashboard development * Support compliance and audit readiness * Collaboration and strategic insights Travel:

They are seeking an AWS Engineer to execute data extraction, design automation, and develop scalable workflows in AWS. Responsibilities : • Execute manual data/document extraction short-term • ...

Showing results 21-40

Data Extraction information

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.
Infographic showing various Data Extraction job openings in Georgia as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution.

Cloud Engineer- Data/AI Focused

Innovative Solutions

Atlanta, GA • On-site

$100K - $160K/yr

Full-time

Re-posted 2 days ago


Job description

As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS - from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.


What You'll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
$100,000 - $160,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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