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Entry Level Aws Python Developer Jobs in Irving, TX

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AI/ML Engineer

Plano, TX · On-site

Core Responsibilities (AI/ML, Python, AWS, GenAI) * Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.

Purple Drive Technologies

DevOps Engineer

Plano, TX · On-site

$50.50 - $69.25/hr

Experience with AWS services such as EC2, S3, RDS, Lambda, CloudFormation, and CloudWatch ... Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

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$12

$56

$82

How much do entry level aws python developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level aws python developer in Irving, TX is $56.29, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level AWS Python Developer, you need a solid understanding of Python programming, cloud computing fundamentals, and basic knowledge of AWS services, often supported by a relevant degree or coursework. Familiarity with tools like AWS Lambda, EC2, S3, and foundational certifications such as AWS Certified Cloud Practitioner are commonly required. Strong problem-solving, eagerness to learn, and effective communication skills help you adapt to evolving technologies and collaborate on teams. These skills and qualities are vital for building reliable cloud solutions and contributing effectively to development projects in dynamic environments.

What are some common challenges faced by entry-level AWS Python Developers when working in cloud-based environments?

Entry-level AWS Python Developers often encounter challenges related to configuring cloud resources securely, managing permissions with AWS Identity and Access Management (IAM), and understanding the integration of Python applications with AWS services like Lambda, S3, and DynamoDB. Adapting to the fast-paced, collaborative nature of cloud development teams can also be demanding, as it requires clear communication and a willingness to continuously learn new AWS services and best practices. However, these challenges are excellent opportunities for rapid skill growth and gaining hands-on experience with modern cloud technologies.

What does an Entry Level AWS Python Developer do?

An Entry Level AWS Python Developer is responsible for building and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. They often work on automating cloud processes, writing scripts, deploying code, and integrating AWS services. These developers help optimize cloud resources, troubleshoot issues, and support teams in developing scalable, cloud-native solutions. Although entry level, the role requires a foundation in Python, basic understanding of AWS services, and eagerness to learn more advanced cloud development concepts.

What is the difference between Entry Level Aws Python Developer vs Entry Level Cloud Support Engineer?

AspectEntry Level Aws Python DeveloperEntry Level Cloud Support Engineer
Required CredentialsAWS certifications, Python knowledgeAWS certifications, basic scripting skills
Work EnvironmentDevelopment, coding, cloud application deploymentSupport, troubleshooting, customer interaction
Industry UsageTech companies, startups, cloud service providersIT services, cloud providers, enterprise support

Both roles often require AWS certifications and familiarity with cloud platforms. The Entry Level Aws Python Developer focuses on coding, developing cloud applications, and automation using Python, while the Entry Level Cloud Support Engineer emphasizes troubleshooting, customer support, and maintaining cloud services. The choice depends on whether you prefer development or support roles within the cloud industry.

What are the most commonly searched types of Aws Python Developer jobs in Irving, TX? The most popular types of Aws Python Developer jobs in Irving, TX are:
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Entry Level Aws Python Developer jobs near you
Python Data Engineer with DEEP (Palantir experience)

Python Data Engineer with DEEP (Palantir experience)

Salesforce

Plano, TX • On-site

$109.50K - $131.50K/yr

Full-time

Posted 26 days ago

Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

98th of 183 rated software companies

Job description

Job Description:
Python Data Engineer with DEEP (Palantir experience)
Data Engineer with strong proficiency in Python and hands-on experience working with Palantir platforms (Foundry, Gotham, or relevant Palantir tools).
The ideal candidate will design, build, and optimize data pipelines, support scalable analytics solutions, and ensure reliable data integration within complex environments.
Core Technical Skills:
  • Python Programming
  • Advanced knowledge of Python for data processing, ETL development, and automation.
  • Experience with popular libraries: pandas, numpy, pySpark.
  • Ability to write clean, efficient, and modular code following best practices.

Palantir Platforms
  • Practical experience on Palantir Foundry or Gotham (pipelines, data lineage, data modeling).
  • Development, management, and optimization of pipelines and data assets in Palantir environments.
  • Familiarity with Palantir's ontology, tools for data transformation, and logic building blocks.
  • Integration of external data sources with Palantir, leveraging APIs and connectors.

Data Engineering & ETL
  • Building, deploying, and managing scalable ETL/ELT pipelines (batch and streaming).
  • Experience with scheduling/orchestrating workflows via Airflow, Palantir Pipeline Builder, or similar.
  • Data quality, validation, profiling, and error handling.

Databases and Data Modeling
  • Proficient in SQL; able to work with relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. MongoDB) databases.
  • Experience designing efficient schemas, indexing strategies, and optimizing queries.
  • Understanding data warehousing concepts.

Cloud & Big Data
  • Experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (e.g. Spark, Hadoop).
  • Familiarity with scalable storage solutions (S3, Blob storage, HDFS).

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Hours and flexibility

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