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Python Aws Jobs in Tennessee (NOW HIRING)

Responsibilities : • Candidate should have 6+ years of hands-on experience in backend development with Python and AWS-based environments. • Design, develop, and maintain scalable backend systems ...

Python * AWS cloud infrastructure * SQL-based data warehouses * Snowflake, Redshift, and large-scale data storage solutions * Pandas and data processing frameworks * Containerized deployment ...

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$110K - $132K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN ... Python / PowerShell * Experience with API integrations (RESTful) * Strong in data ingestion ...

Devops with Aws azure and GCP

Nashville, TN · On-site

$51 - $69.75/hr

Job Title: Devops with Aws azure and GCP Job Location: Nashville - Tennessee Job Type: Contract ... Slack Vault Python Cortex * Follow deployment practices using CICD Processes and Technologies ...

Required : • 6+ years of hands-on experience in backend development with Python and AWS-based environments. • Design, develop, and maintain scalable backend systems using Python frameworks ...

Cloud Software Engineer

Oak Ridge, TN

$57.25 - $74.50/hr

High proficiency in Python and JavaScript (Node.js/React preferred). * DevOps Toolchain: Familiarity with Git (branching strategies, PR workflows), Jira , and AWS DevOps tools (CodeBuild, CodeDeploy ...

DevEx Architect

Nashville, TN · On-site

$62.50 - $82/hr

... Python, JavaScript/TypeScript, C#) • Experience with cloud platforms such as AWS, Azure, or GC • Proficiency in CI/CD tools such as Azure Pipelines, GitHub Actions, or Jenkins • Hands-on ...

Data Engineer III

Memphis, TN

$119K - $143K/yr

Proficient in programming languages such as Python and SQL for database querying and manipulation. * Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon ...

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Python Aws information

Does Python work with AWS?

Python is widely used in AWS environments for scripting, automation, and developing cloud applications. AWS provides SDKs like Boto3 that enable Python developers to interact with AWS services easily, making it a popular choice for cloud-based development and DevOps roles.

What is the difference between Python Aws vs Cloud Engineer?

AspectPython AwsCloud Engineer
Required CredentialsAWS certifications, Python proficiencyCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentDevelopment, scripting, automation in cloud environmentsDesign, implement, manage cloud infrastructure
Employer & Industry UsageTech companies, startups, cloud service providersLarge enterprises, IT firms, cloud service providers
Common Search & ComparisonYesYes

Python Aws focuses on scripting and automation using Python within AWS environments, while Cloud Engineer involves designing and managing overall cloud infrastructure across multiple platforms. Both roles require cloud certifications, but Python Aws emphasizes coding skills, whereas Cloud Engineers focus on architecture and deployment.

What are Python AWS developers?

Python AWS developers are professionals skilled in using the Python programming language to build, deploy, and manage applications on Amazon Web Services (AWS). They leverage AWS services such as Lambda, EC2, S3, and others, often using Python libraries like Boto3 to automate cloud operations. These developers are responsible for creating scalable, cloud-native solutions and integrating various AWS services through Python scripts. Their expertise helps businesses efficiently use AWS resources and optimize cloud-based workflows.

How do Python AWS professionals typically collaborate with other teams in cloud-based projects?

Python AWS professionals often work closely with DevOps engineers, cloud architects, and software developers to design, develop, and deploy scalable cloud applications. Collaboration usually involves participating in sprint planning meetings, code reviews, and infrastructure discussions to ensure seamless integration of Python-based solutions with AWS services. Effective communication and familiarity with CI/CD pipelines are essential, as these roles require coordinating on deployments, troubleshooting, and optimizing cloud resources for performance and cost-efficiency.

Which AWS jobs are in demand?

AWS-related jobs in demand include Cloud Engineer, DevOps Engineer, Solutions Architect, and Cloud Security Specialist. These roles require skills in cloud infrastructure, automation, and certifications like AWS Certified Solutions Architect or AWS Certified DevOps Engineer. Demand is driven by organizations migrating to cloud platforms and seeking expertise in managing scalable, secure environments.

What is the salary of Python AWS developer?

The salary of a Python AWS developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications such as AWS Certified Developer. Senior roles or those with specialized skills may earn higher compensation.

Are Python coders still in demand?

Python developers are currently in high demand across various industries due to the language's versatility and widespread use in web development, data analysis, machine learning, and cloud computing. Skills in frameworks like Django or Flask, along with knowledge of cloud platforms such as AWS, can enhance job prospects for Python coders.

What are the key skills and qualifications needed to thrive as a Python AWS Developer, and why are they important?

To thrive as a Python AWS Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing fundamentals, and experience with AWS services such as Lambda, EC2, and S3, often backed by a relevant degree or AWS certification. Familiarity with tools like AWS CLI, CloudFormation, and containerization platforms (e.g., Docker) is typically required. Problem-solving ability, effective communication, and adaptability are vital soft skills for collaborating and troubleshooting in dynamic cloud environments. These skills and qualifications are crucial for building scalable, secure, and efficient cloud-based applications that meet business needs.
What are popular job titles related to Python Aws jobs in Tennessee? For Python Aws jobs in Tennessee, the most frequently searched job titles are:

Senior Data Scientist - GenAI/Python/AWS/SQL

Unum Group

Chattanooga, TN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

When you join the team at Unum, you become part of an organization committed to helping you thrive.
Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
  • Award-winning culture
  • Inclusion and diversity as a priority
  • Performance Based Incentive Plans
  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
  • Generous PTO (including paid time to volunteer!)
  • Up to 9.5% 401(k) employer contribution
  • Mental health support
  • Career advancement opportunities
  • Student loan repayment options
  • Tuition reimbursement
  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.
And that's just the beginning...
With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
General Summary:
Are you passionate about using AI and advanced analytics to solve complex, high-visibility business problems? Do you thrive in an innovation-driven environment where you can prototype, experiment, and shape the future of AI at scale? If so, this is the role for you.
We are seeking a Senior Data Scientist to join our innovation hub-a small, agile team tackling the company's most strategic challenges. You'll build POCs, develop end-to-end machine learning and generative AI solutions, and work directly with senior leaders across the enterprise.
What You Bring
Bachelor's in a quantitative field required (Master's/PhD preferred)
6+ years of experience in data science or machine learning
Strong Python and SQL skills
Experience with cloud platforms (AWS preferred; Azure/GCP comparable)
Databricks + PySpark experience is a strong plus
Background in statistical modeling, ML algorithms, and feature engineering
Ability to build automated analytics workflows and work with APIs
Strong communication skills with experience influencing senior stakeholders
Entrepreneurial mindset, curiosity, and comfort working in fast-moving environments
Job Specifications / Qualifications
Education
  • Bachelor's degree in a quantitative field required.
  • Master's or PhD in a quantitative discipline preferred.

Experience
  • 6+ years of professional experience or equivalent relevant work.
  • Proven track record leading end-to-end data science projects with measurable business impact.

Technical Expertise
Core Data Science Capabilities (expert in at least two, strong in others):
  • Programming & Automation:
    • Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations.
    • Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable).
    • Exposure to object-oriented development and scalable architecture.
  • Data Visualization:
    • Expertise across multiple visualization tools and techniques.
    • Ability to tailor visuals to business use cases and audiences.
  • Statistics & Machine Learning:
    • Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms.
    • Experience leading large-scale modeling projects end-to-end.
    • Familiarity with generative AI approaches is a plus.
  • Data Engineering / ETL:
    • Strong SQL skills; ability to design, debug, and optimize complex queries.
    • Ability to navigate and explore large databases independently.
    • Experience combining internal and external data sources.

Soft Skills & Business Leadership
  • Strong communication skills, including the ability to influence senior leaders.
  • Project management expertise and strong business acumen (financial services experience a plus).
  • Ability to manage multiple concurrent initiatives in a fast-moving environment.
  • Comfortable leading engagements and representing analytics with executive leadership.

Primary Responsibilities
Analytical Solution Development
  • Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.
  • Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.
  • Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.
  • Evaluate alternative approaches and select appropriate modeling techniques for each use case.

Data Engineering & Preparation
  • Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation.
  • Build modeling-ready datasets using validation, reconciliation, feature engineering, and aggregation techniques.
  • Write complex SQL queries involving multi-table joins, data exploration, and troubleshooting with minimal guidance.
  • Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.

Automation & Deployment
  • Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms.
  • Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes.
  • Play a lead role in operationalizing AI/ML solutions within production environments.

Visualization, Insights & Communication
  • Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences.
  • Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners.
  • Translate complex technical work into business-friendly recommendations.

Leadership, Mentorship & Collaboration
  • Coach, mentor, and develop junior data scientists; provide technical guidance and feedback.
  • Provide leadership on data science initiatives, ensuring outputs meet quality standards.
  • Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners.
  • Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members.

Innovation & Research
  • Stay current on emerging statistical methods, machine learning advancements, and generative AI tools.
  • Conduct independent R&D to prototype new approaches and explore innovative solutions for high-visibility business problems.
  • Demonstrate entrepreneurial, self-starter mindset with a strong curiosity and continuous-learning orientation.

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Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$89,400.00-$183,500.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Company:
Unum