Atlanta, GA

Data Jobs in Atlanta, GA

138 jobs found

Include remote jobs

4mo ago

Lead Generative AI Data Engineer III

Deloitte Atlanta, GA

Atlanta, GA

4mo ago Closed

$159k - $265k/yr Full time Manager Ai Workflows Anthropic

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Deloitte is seeking a Lead Generative AI Data Engineer III for an onsite role in Atlanta, GA. This position centers on designing, developing, testing, and deploying machine learning and AI solutions, leading AI engineering workstreams, building robust data pipelines and production-grade components, collaborating with cross-functional teams, and mentoring practitioners.

Responsibilities

Lead the end-to-end design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
Manage AI engineering workstreams by assigning tasks, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
7+ years of professional experience.
5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
3+ years of programming experience in Python, PySpark, PyTorch, and TensorFlow.
2+ years of technology consulting experience in the Federal Health space.
2+ years of experience deploying machine learning models into production environments.
2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
Active certification or advanced certification in Python, PySpark, PyTorch, and TensorFlow.
Ability to travel 20 percent on average, based on the work and client engagements.
Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Technologies

Python
PySpark
PyTorch
TensorFlow
Docker
Kubernetes
Gemini
Anthropic
OpenAI

Benefits

Discretionary annual incentive program

Skills for Success

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to mentor and provide clear guidance to others

Preferred

Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
Active US Government security clearance
2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

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4mo ago

Data Analytics Engineer - Techno functional

Capgemini Atlanta, GA

Atlanta, GA

4mo ago Closed

$103k - $129k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 22, 2026).

Job Description

Capgemini in Atlanta, GA (hybrid) is seeking a Data Analytics Engineer with a salary range of USD 103,330 - 128,656 per year.

Responsibilities

Collaborate with business stakeholders to define key metrics, KPIs and data requirements
Design, build and maintain efficient data pipelines and ETL processes to support analytics and reporting
Translate complex datasets into clear business oriented insights and recommendations
Develop and maintain dashboards, reports and visualizations
Ensure data accuracy, consistency and governance across platforms
Conduct deep dive analyses to uncover trends, risks and opportunities
Partner with data scientists, product managers and business teams to support strategic initiatives

Requirements

Bachelors degree in Computer Science, Data Engineering, Statistics or a related field
8 years of experience in data engineering and analytics roles
Strong proficiency in SQL Analytics tools
Proven experience in financial services and wealth management domains with expertise in stock plans, financial data, Crypto and related business processes
Hands on experience with data warehousing solutions such as Snowflake
Solid understanding of data modeling, architecture and governance principles
Excellent communication and collaboration skills

Technologies

SQL Analytics tools
Snowflake
Dataiku
AWS
Azure
GCP

Preferred Skills

Experience with cloud platforms e.g. AWS, Azure, GCP
Familiarity with Analytics tools such as Dataiku
Prior experience working with Wealth Management team

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Life and disability insurance
Employee assistance programs

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4mo ago

Data Engineer II

Amazon Web Services, Inc. Atlanta, GA

Atlanta, GA

4mo ago Closed

$132k - $179k/yr Full time Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Amazon Web Services, Inc. is hiring a Data Engineer II onsite in Atlanta, GA, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Architect, develop, test, document, and operate scalable, high-volume data structures to support business intelligence analytics.
Build data structures applying best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies.
Provide online reporting and analysis using OBIEE, leveraging a logical abstraction layer across large, multi-source, multidimensional datasets.
Gather business and functional requirements and translate them into robust, scalable data solutions aligned with the overall data architecture.
Analyze source data systems and promote best practices across source teams.
Participate in the full development life cycle from design and implementation through testing, documentation, delivery, support, and maintenance.
Produce comprehensive dataset documentation and metadata for usability and reuse.
Evaluate dataset implementations proposed by peer data engineers and make informed decisions.
Evaluate the use of new or existing software products and tools to strengthen data capabilities.
Mentor junior data engineers to develop technical skills and promote best practices.

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with one year of related experience, or equivalent experience in roles such as Operations Research Analyst or Database Developer.
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with five years of related experience, or as equivalent to the Master's degree and one year of experience.
One year of experience in ETL/ELT processes.
One year of experience in OLAP technologies.
One year of experience in data modeling.
One year of experience in SQL.
One year of experience in Oracle.

Technologies

OBIEE
SQL
Oracle
OLAP

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4mo ago

Data Engineer – Healthcare Analytics Platform

Guidehouse Atlanta, GA

Atlanta, GA

4mo ago Closed

$77k - $129k/yr Full time Analytics Azure Data Factory Business Analytics

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Location: Atlanta, GA (onsite) • Salary: USD 77,000 - 129,000 per year • Education: Bachelor's degree • Experience: 5+ years

The role centers on designing and building an enterprise Contract Performance Analytics platform for a large healthcare system, focusing on data architecture, ELT/ETL pipeline development, and integrating clinical, claims, and operational data into a scalable analytics ecosystem.

Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load healthcare data from diverse structured and unstructured sources
Develop pipelines to process data from CMS and payer files (CCLF, paid claims, PUG) as well as Epic data models and extracts (Caboodle, Clarity)
Build and optimize data models to support analytics, reporting, and operational use cases, including BI and downstream analytics consumption
Transform raw data into standardized, analytics-ready canonical data models and curated data marts
Build lakehouse or medallion architecture, data ingestion patterns, and orchestration frameworks
Implement and maintain CI/CD pipelines for data engineering workflows, including pipelines and scheduled jobs, using version control and automation tools
Collaborate with database administrators, analysts, and application teams to integrate data sources, design schemas, and support downstream data consumers
Ensure data quality, integrity, and accuracy through validation, monitoring, logging, and alerting
Support data migration, integration, and modernization initiatives, including legacy system upgrades, optimization of large-scale ETL pipelines, query performance, and cloud adoption efforts
Troubleshoot and resolve issues in development and production environments to maintain stable data pipelines
Document data flows, pipelines, test cases, and technical solutions to support knowledge sharing and compliance requirements
Stay current with emerging tools, technologies, and best practices in data engineering and cloud platforms

Requirements

US Citizenship or a Green Card is required
Bachelor’s degree in Computer Science, Data Analytics, Software Engineering, Information Systems, or related fields
A minimum of five years of experience in data engineering, ETL/ELT development, or data platform engineering in a healthcare setting
Experience with healthcare data including claims, clinical, payer, or population health datasets
Experience with healthcare data interoperability standards (FHIR, HL7)
Proficiency in Python and SQL for data engineering and transformation workloads
Hands-on experience designing and building ETL/ELT pipelines and data ingestion frameworks
Experience with modern cloud data platforms or ETL/ELT tools (Databricks, Azure Data Factory, AWS Glue)
Experience with lakehouse or medallion architectures for analytics platforms
Strong knowledge of relational database design, data warehouses, and/or data lakes (star/snowflake schemas)
Experience working with relational and/or distributed data systems, including data modeling
Experience in a cloud environment (AWS or Azure) supporting data solutions
Experience with CI/CD practices and version control tools (e.g., Git)
Experience using monitoring and logging tools to support data pipeline reliability
Experience working with PHI and healthcare data privacy/security requirements
Ability to work effectively in an Agile development environment
Strong analytical and troubleshooting skills, and the ability to communicate technical concepts clearly to clients, engineers, and business stakeholders
Ability to work independently in a fast-paced, client-facing environment

Technologies

Python
SQL
Databricks
Azure Data Factory
AWS Glue
Git
Tableau
Power BI
AWS
Azure
Snowflake
Exasol
Epic
Caboodle
Clarity
Athena

Nice to Have

Previous experience working with Epic and/or Athena in a healthcare setting for data engineering
Previous experience with Exasol or similar analytics platform
AWS, Azure, Databricks, Snowflake or other data engineering certifications
Experience with data visualization or analytics tools (Tableau, Power BI)
Exposure to microservices based architectures or AI/ML enabled data pipelines
Prior consulting experience

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4mo ago

Sr Data Analyst Labor

Home Depot / THD Atlanta, GA

Atlanta, GA

4mo ago Closed

Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jul 8, 2026).

Job Description

Location

Atlanta, GA (onsite)

Responsibilities

40% of time spent improving labor and related business decisions that drive productivity in US retail stores. Design, develop, and implement analytical tools, technology, and business solutions to educate and influence labor clients and business leaders. Create dashboards, reports, presentations, and visual aids to support decision making. Identify new opportunities to optimize labor decisions and store productivity.
40% of time leading analyses of moderate to high complexity for Home Depot's hourly payroll labor model to drive business decisions and efficiency. Identify trends, determine root causes, and provide analytical insights to client groups and leaders to inform labor model decisions.
20% of time supporting existing analytical tools and dashboards while developing additional technical competencies and subject matter expertise to enable process improvements.

Requirements

Must be 18 years of age or older
Must be legally permitted to work in the United States
Bachelor's degree or equivalent degree in a field related to the job
Minimum 2 years of experience
No previous leadership experience

Technologies

Microsoft Office Suite
Tableau
Microsoft PowerPoint
SQL / BigQuery SQL
GenAI tools (ChatGPT, Copilot, Claude, Gemini)

Direct Manager / Direct Reports

This position typically reports to the Data Analytics Manager- Labor and has up to 0 direct reports.

Travel Requirements

No travel required.

Physical Requirements

Most of the time is spent sitting in a comfortable position with frequent movement potential. Rarely, light articles may need to be moved or lifted.

Working Conditions

Located in a comfortable indoor environment. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Education

Minimum: Bachelor's degree or equivalent in a field related to the job. Preferred: Bachelor's degree in a related field.

Experience

Minimum: 2 years. Preferred: 2 years of relevant experience.

Preferred Qualifications

Working knowledge of Microsoft Office Suite
Working knowledge of Tableau
Working knowledge of presentation software (e.g., Microsoft PowerPoint)
Demonstrated ability to collaborate with cross-functional teams
Ability to develop and apply advanced mathematical/statistical techniques
Ability to draw accurate conclusions from financial documentation
Ability to convey complex ideas and processes to diverse audiences
Excellent written and verbal communication skills
Proficiency in SQL / BigQuery SQL, Tableau, and/or similar tools with a track record of learning new skills
Working knowledge of GenAI tools (ChatGPT, Copilot, Claude, Gemini)

Competencies

Action Oriented
Decision Quality
Manages Ambiguity
Customer Focus
Drives Results

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4mo ago

Manager-Pro Finance & Analytics

Home Depot / THD Atlanta, GA

Atlanta, GA

4mo ago Closed

Full time Manager Senior Analytical Skills

This position is no longer accepting applications (closed Jul 5, 2026).

Job Description

Join Home Depot in Atlanta, GA onsite as a Manager-Pro Finance & Analytics. This role centers on financial leadership, analytics, and cross-functional collaboration within the Pro Capabilities organization to drive Pro performance and shareholder value. You’ll work closely with finance, operations, HR, real estate, and information systems to shape outcomes in a hands-on environment.

Responsibilities

Strategic analysis and problem solving: develop a deep understanding of the business, identify and implement process and organizational improvements, plan and execute department objectives, participate in annual budgeting, review monthly expenditures to meet budgetary goals, and monitor monthly metrics to ensure targets are achieved.
Financial planning: conduct planning for the function and present informed recommendations.
Leadership and operations: lead, plan, and coordinate work teams to perform financial activities efficiently; use metrics to track performance and manage workload; ensure processes and procedures are compliant with established policies.
Drive key functional financial metrics to support overall business performance.
Project management: develop and support strategic partnerships with business partners; participate in cross-functional activities to address business issues and strengthen competitive advantage; facilitate cross-functional communication with Finance, Human Resources, Real Estate, Operations, and Information Systems.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Bachelor's degree or equivalent.
Minimum of 5 years of relevant experience.

Technologies

SQL
Tableau

Direct Manager / Direct Reports

Typically reports to a Director level
This position has no direct reports

Travel Requirements

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements

Most of the time is spent sitting in a comfortable position with frequent opportunities to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Preferred Qualifications

Strong technical skills (SQL, Tableau).
Knowledge of accounting principles and practices, analysis, and reporting of financial data.
Knowledge of business and management principles involved in strategic planning and resource allocation.
Project management skills with the ability to prioritize and multitask effectively.
Judgment and decision-making skills, considering the relative costs and benefits of potential actions.

Preferred Education

No additional education

Certifications

None

Competencies

Knowledge of accounting principles and practices, analysis and reporting of financial data.
Knowledge of business and management principles involved in strategic planning and resource allocation.
Project management skills; ability to prioritize and multitask effectively.
Judgment and decision-making skills; considering the relative costs and benefits of potential actions.

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4mo ago

Data Analyst Labor

Home Depot / THD Atlanta, GA

Atlanta, GA

4mo ago Closed

Full time Analyst Analytics Big Data

This position is no longer accepting applications (closed Jul 5, 2026).

Job Description

Based in Atlanta, this on-site Data Analyst Labor role at Home Depot / THD centers on turning labor data into actionable insights that guide leadership decisions across store labor teams. The position involves building dashboards, crafting reports, and supplying data sources to support analytics-driven choices that shape day-to-day operations.

Responsibilities

40%: Create dashboards, reports, data sources, and visual materials to educate and influence labor decisions for client groups and business leaders, including clear presentations that support decision-making.
40%: Conduct advanced analyses of hourly payroll and related business data to identify trends and root causes, using dashboards and reports to inform leadership and drive effective solutions.
20%: Maintain and enhance existing analytical tools and dashboards to streamline processes, reduce issues, and deliver ongoing value, while expanding technical skills and subject matter expertise.

Requirements

Must be 18 years of age or older
Must be legally permitted to work in the United States

Qualifications

Minimum of 1 year of work experience in a related analytics role
Bachelor's degree or equivalent in a related field

Technologies

Microsoft Office Suite
Tableau
Microsoft PowerPoint
SQL
BigQuery SQL
ChatGPT
Copilot
Claude
Gemini

Reporting

This position typically reports to the Data Analytics Manager - Labor and has up to 0 direct reports.

Travel

Typically requires overnight travel less than 5% of the time.

Physical Requirements

Frequent periods of standing or sitting in a consistent location with some movement; may occasionally involve stooping or lifting light objects (under 8 pounds)