Top Python Jobs in Atlanta, GA

The Databricks Engineer will design and optimize big data solutions, develop scalable ETL workflows, and collaborate on AI/ML projects using Databricks and Apache Spark.

The Hyperautomation Developer will architect, develop, and oversee the automation solutions using Power Platform and Gen AI technologies, collaborating with various teams to enhance business operations.

The Senior Data Scientist II will develop advanced pricing models, validate performance, collaborate with teams, and communicate insights, focusing on business value and compliance.

The role involves architecting and deploying AI systems, building ML infrastructure, leading data pipelines, and providing technical mentorship in a collaborative environment.

The Senior Full Stack Back End Engineer designs, develops, and maintains scalable web applications. Responsibilities include coding, collaborating on technical specifications, ensuring software quality, and staying updated with industry trends.

Develop and maintain scalable web applications focusing on back-end systems, collaborate with teams to define technical specifications, and ensure code quality through testing and reviews.

The Senior Data Analyst will lead risk function modeling, data visualization, and market intelligence synthesis while mentoring junior analysts in a dynamic energy company.

The role involves leading technical development for pricing analysis and profitability monitoring, supporting data modernization, and collaborating across functions.

The Staff Software Engineer will design and develop scalable, AI-driven full stack applications, mentor junior engineers, and lead technical projects.

The Google AgentSpace Architect will design, implement and manage agent deployment and monitoring solutions, leveraging Google Cloud tools and third-party integrations while collaborating with cross-functional teams.

The Senior Actuary focuses on network strategy, financial tools, and analytics while collaborating across functions to support profitability and membership in the healthcare market.

The Senior Data Engineer will manage data warehouse infrastructure, oversee database systems, lead data product development, and ensure data security and quality.

The Senior Platform Engineer will design, implement, and manage cloud infrastructures, automate deployments, develop CI/CD pipelines, and optimize operational efficiency in fintech environments.

The FP&A Analyst role focuses on budgeting, forecasting, and financial analysis to support company growth and decision-making. Responsibilities include financial planning, cross-functional collaboration, reporting, and process improvements.

The Solution Consultant provides technical consulting for implementing TSYS products, engages with clients, and develops applications for troubleshooting and documentation.

Lead teams addressing data science challenges using statistical analysis, machine learning, and AI in a commercial environment. Responsible for model development, deployment, and collaboration with stakeholders.

The Staff Data Scientist will address machine learning and statistical problems, develop and deploy models, and work collaboratively in a team environment.

As a Staff Data Scientist, you will develop and deploy machine learning models, work with data engineers, and utilize AI solutions for complex data problems. Collaborate with teams to enhance analytics and address customer needs.

As a Senior Data Engineer, you'll design and develop analytical solutions, build data pipelines, and collaborate with clients to solve data problems.

The Cloud Engineer will design and maintain cloud infrastructure, automate processes, and ensure security compliance while collaborating with cross-functional teams.

As a Senior Cloud Engineer, you will design and maintain cloud infrastructure, ensuring security and efficient deployment across AWS, OCI, GCP, and Azure while utilizing automation tools and CI/CD practices.

The Python Engineer will design, build, and maintain technology solutions, collaborating with team members to deliver optimal customer experiences and high-quality code.

The AI Ops Engineer will design CI/CD pipelines for AI models, manage cloud infrastructure, maintain containerized environments, and collaborate with AI teams, ensuring optimization and security in deployments.

Lead Data Engineer responsible for designing analytical solutions, building data pipelines, and managing client engagements while ensuring best practices in data engineering.

This role involves pricing analyses, actuarial support for filings, and collaboration with leadership and data teams to develop strategies.