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Remote Aws Serverless Developer Jobs in Texas (NOW HIRING)

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

Serverless Application Development : Use AWS Lambda functions to build serverless solutions for ... Strong programming skills in Python with experience using PySpark and Pandas for large-scale data ...

AWS Data Architect (Remote)

Irving, TX · Remote

$62.25 - $81.50/hr

Join us! AWS Data Architect Locations: Remote POSITION SUMMARY : We are seeking a AWS Data ... This role works closely with business stakeholders, data engineers and integration partners to ...

AWS Data Architect (Remote)

Irving, TX · On-site +1

$62.25 - $81.50/hr

Join us! AWS Data Architect Locations: Remote POSITION SUMMARY : We are seeking a AWS Data ... This role works closely with business stakeholders, data engineers and integration partners to ...

AWS Team Lead, Development

Austin, TX · On-site +1

$145K - $165K/yr

This is a remote role based in the United States. The TTEC Digital AWS Partner Practice comprises ... Developer teams consist of three to four developers, including the team lead and a project manager.

AWS Team Lead, Development

Austin, TX · Remote

$145K - $165K/yr

This is a remote role based in the United States. The TTEC Digital AWS Partner Practice comprises ... Developer teams consist of three to four developers, including the team lead and a project manager.

Senior Python Engineer

Austin, TX · On-site +1

$120K - $162K/yr

You are familiar with deploying applications to AWS. * Bonus points if you have serverless experience. * Collaborate with other skillsets on your team such as Front End Development, DevOps and Design.

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Remote Aws Serverless Developer information

What is a Remote AWS Serverless Developer?

A Remote AWS Serverless Developer is a software engineer who specializes in building and maintaining applications using Amazon Web Services (AWS) serverless technologies, such as AWS Lambda, API Gateway, DynamoDB, and others, while working remotely. These professionals design, code, and deploy scalable solutions without managing traditional server infrastructure. Their responsibilities often include writing cloud functions, integrating AWS services, automating deployment processes, and ensuring high performance and security standards. They collaborate with teams using online tools and are knowledgeable about cloud architecture best practices.

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

To thrive as a Remote AWS Serverless Developer, you need strong skills in cloud computing, programming (especially in languages like Python or Node.js), and deep knowledge of AWS serverless services such as Lambda, API Gateway, and DynamoDB. Familiarity with AWS CloudFormation, SAM, CI/CD pipelines, and AWS certifications like AWS Certified Developer – Associate are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help you excel in distributed team environments. Mastering these competencies ensures you can build scalable, efficient serverless solutions while collaborating seamlessly with global teams.

How does a Remote AWS Serverless Developer typically collaborate with other team members across different time zones?

As a Remote AWS Serverless Developer, you’ll often work with cross-functional teams including front-end developers, DevOps engineers, and project managers who may be distributed globally. Effective collaboration relies heavily on clear communication through tools like Slack, Jira, and regular video meetings. You’ll likely take part in code reviews, sprint planning, and architecture discussions asynchronously to accommodate varying time zones. Documenting your work and maintaining up-to-date status reports are important to keep everyone aligned and ensure smooth project progress.
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AWS Data Engineer - Fully Remote - US Only

Scalepex

Plano, TX • On-site, Remote

$109K - $131K/yr

Full-time

Posted 20 days ago


Job description

❋ Why Scalepex?
Scalepex is a dynamic services firm specializing in providing solutions for premium brands like Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.
❋ Take your portfolio to the next level by working with one of our fastest growing clients.
Join the Innovation Frontier at Scalepex!
About the Role
We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda, Glue, and Redshift. This role will focus on designing, developing, and optimizing data pipelines to support analytics and decision-making in the utilities industry.
Key Responsibilities
  • Design and Build Data Pipelines: Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids.
  • Workflow Orchestration: Use AWS Step Functions to orchestrate workflows across data pipelines; experience with Airflow is acceptable but Step Functions is preferred.
  • Data Integration and Transformation: Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets.
  • Distributed Systems Expertise: Leverage experience with complex distributed systems to ensure reliability, scalability, and performance in handling large-scale utility data.
  • Serverless Application Development: Use AWS Lambda functions to build serverless solutions for automating data processing tasks.
  • Data Modeling for Analytics: Design data models tailored for utilities use cases (e.g., energy consumption forecasting) to enable advanced analytics
  • Optimize Data Pipelines: Continuously monitor and improve the performance of data pipelines to reduce latency, enhance throughput, and ensure high availability.
  • Ensure Data Security and Compliance: Implement robust security measures to protect sensitive utility data and ensure compliance with industry regulations.

Requirements
Required Qualifications
  • Minimum of 5 years of experience in data engineering
  • Proficiency in AWS services such as Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift.
  • Strong programming skills in Python with experience using PySpark and Pandas for large-scale data processing.
  • Hands-on experience with distributed systems and scalable architectures.
  • Knowledge of ETL/ELT processes for integrating diverse datasets into centralized systems.
  • Familiarity with utilities-specific datasets (e.g., smart meters, energy grids) is highly desirable.
  • Strong analytical skills with the ability to work on unstructured datasets.
  • Knowledge of data governance practices to ensure accuracy, consistency, and security of data.

  • Strong experience in AWS data engineering
  • Ability to work independently
  • Ability to work with a cross-functional teams, including interfacing and communicating with business stakeholders
  • Professional oral and written communication skills
  • Strong problem solving and troubleshooting skills with experience exercising mature judgement
  • Excellent teamwork and interpersonal skills
  • Ability to obtain and maintain the required clearance for this role