2332 Data Science Ai Data Engineer jobs in Conyers,GA

Research Scientist- Spatial Audio & AI

Dolby

Atlanta, GA 30349

Data Engineer– Healthcare Analytics Platform

Guidehouse Careers

Atlanta, GA 30349

Research Scientist- Spatial Audio & AI

Dolby Laboratories

Atlanta, GA 30349

New, Posted 18 hours ago

Remote Quality Control Assistant / Data Documentation Clerk

Evolution Sports Group

Conyers, GA

$50-$70/hr

Remote

New, Posted 1 day ago

Advanced Specialist, AI Scientist

Pearson

Atlanta, GA 30349

Research Scientist- Spatial Audio & AI

Via Licensing Corporation

Atlanta, GA 30349

New, Posted just now

Remote Research Scientist - Healthcare Analytics & Impact

Humana

Atlanta, GA 30349

Remote

AI Research Scientist Foundation Models Lead

Georgia Tech

Atlanta, GA 30349

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Analytics Engineer

Cox Automotive

Redan, GA 30074

~ 20 min OnsiteFlexible SchedulePaid Time Off

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Must live within a commutable distance to the Atlanta office
Bachelors Degree and 6+ years experience or 18 years related experience
Intermediate SQL programming skill
Intermediate knowledge of SQL-based relational databases
Previous experience with ETL processing of big data
Required: 6+ years experience with SQL-based relational databases (e.g., Athena, Redshift, Snowflake).
Required: 6+ years experience with BI Tools (e.g., Microsoft Power BI, Domo, Tableau).
Required: Microsoft Office Suite, specifically strong Excel proficiency.
Familiarity with version control systems (e.g., GitHub) and CI/CD workflows for data pipeline deployment
Experience with or willingness to learn Snowflake data platform capabilities, including Cortex AI features for semantic layer and natural language analytics.
Must be able to learn and use AI/GenAI capabilities as part of the analytics operations workflow, including leveraging large language models for code generation, documentation, data quality analysis, and process automation.
Must be able to travel by land and/or air for same-day or overnight business trips (up to 5%).
Must be able to work directly with vendors to resolve issues, to drive technological advances, and on long-term projects/initiatives.
Must be able to learn and use analytics and other relevant technologies (e.g., web analytics tools, SQL-based databases, data visualization software, AI/GenAI capabilities).