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Remote Amazon Data Engineer Jobs in Delaware (NOW HIRING)

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role ... As a Senior AI Engineer, your experience as a mentor and your ability to developing clean, scalable ...

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Familiarity with data governance, and enterprise SaaS ecosystems. * Excellent communication and ... Ability to work both independently and collaboratively in a remote environment. Nice to have:

Calibri,sans -serif">Location : 100% remote Duration : Longterm family:Calibri,sans -serif ... Strong knowledge in software architecture, data structures, modern design patterns, microservice ...

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Remote Amazon Data Engineer information

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

What are popular job titles related to Remote Amazon Data Engineer jobs in Delaware?

For Remote Amazon Data Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Engineer jobs in Delaware look for?

The top searched job categories for Remote Amazon Data Engineer jobs in Delaware are:

What cities in Delaware are hiring for Remote Amazon Data Engineer jobs?

Cities in Delaware with the most Remote Amazon Data Engineer job openings:

Infographic showing various Remote Amazon Data Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior AI Engineer

The Chemours Company

Wilmington, DE • On-site, Remote

$101K - $139K/yr

Full-time

Retirement

Re-posted 19 days ago


Chemours rating

7.3

Company rating: 7.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

64th of 100 rated chemical manufacturers


Job description

As we create a colorful, capable and cleaner world through chemistry, we invite you tojoin our team to harness the power of chemistry to shape markets, redefine industries and improve lives for billions of people around the world.

CREATING ESSENTIAL CHEMISTRY THAT THE WORLD NEEDS

At Chemours, our people are redefining how the world thinks of chemistry by approaching everything we do with a commitment to delivering Trusted Chemistry that creates better lives and helps communities thrive. That begins with how we use our science, data, and unmatched technical expertise to develop market-leading products with the highest levels of performance, sustainability, and safety in the industry.

Powered by chemistry, our products are used in applications that make the products we rely on, processes, and new technologies possible. In key sectors such as clean energy, advanced electronics, high-performance computing and AI, climate friendly cooling, and high-quality paints and coatings for homes and industrial infrastructure---sustainable solutions and more modern living depend on Chemours chemistry.

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a remote role and will report directly to the Head of Data Science & AI.

The role willidentify,solution, build, and launch GenAI products & traditional apps in all areas of the company, including Manufacturing, Legal, Finance, R&D, Supply Chain, and Sales.

You'lljoin a highly collaborative team that values speed and quality of execution, putting a high volume of high-impact ML models/GenAI agents into production. As a Senior AI Engineer, your experience as a mentor and your ability to developing clean, scalable code efficiently will be valuable as our team grows.

Successful candidates will be able to thrive in afast paced, ambiguous environment with a continuous learning mindset. Role will also require heavy stakeholder/end-user engagement throughout the scoping & build process.

Must be able toworkUS eastern time zone working hours, typically 7:30am - 5pm.

The responsibilities of the position include, but are not limited to, the following:

  • Identify, design, and integrate Generative AI solutions into existing business workflows to deliver measurable value

  • Design, architect, implement, andproductionizetraditional software applications and GenAI agents.

  • Partner with users and stakeholders to scope the use case, gather requirements,establishsuccess criteria, and deliver an intuitive, high-quality UX.

  • Lead high-impact initiatives across multiple business functions, including Manufacturing, Legal, Finance, R&D, Supply Chain, Procurement, and Sales.

  • Mentor & help accelerate the work of junior developers; foster collaboration and teamwork and pair-programming culture.

  • Collaborate with related teams (ie. Cybersecurity, Infrastructure, Data Engineering, Office 365) to go thru approvals, architecture, security & governance reviews.

  • When assigned to an opportunity, you will lead end-to-end delivery.

  • You will serve as product owner to define andmaintaina phased roadmap, incorporating continuous user feedback, backlog prioritization, and release planning into your recommendations.

  • Lead software development from design through deployment.

  • Communicate progress to non-technical but key stakeholders on a proactive & regular basis.

  • For existing codebases, address technical debt and build scalable, reusable architectures that are well documented and conform to security and compliance standards.

  • Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.

The following is required for this role:

  • Degree in Computer Science or Computer Engineering

  • 8+ years advanced backend development with Python ANDJavascript

  • 2+ years designing, coding (in Python), and deploying custom and complex GenAI solutions and multi-agent GenAI systems in production. We need to see evidence beyond building simple recommender systems or chatbots.

  • Minimum 2 years UI & frontend development with React.js, Typescript, and HTML

  • Strong hands-on experience designing and building GenAI architectures and multi-agent systems, including embeddings, advanced Retrieval-Augmented Generation (RAG) techniques, and a variety of search architectures. Candidates should be able to clearly articulate solutions they have built using hybrid search, agentic search, vector search, and full-text search architectures.

  • Demonstrated experience developing, deploying, and evaluating GenAI solutions, with a strong understanding of evaluation frameworks (evals) and a proven ability to optimize the cost-to-performance ratio of production AI applications.

  • Strong proficiency with Pydantic models, including knowing when and how to leverage them to design robust, scalable, and maintainable GenAI architectures and workflows.

  • Excellent English communication skills,in particular withnon-technical users; proven ability to translate user needs into technical specs and regularly communicate progress to a wide range of technical & non-technical stakeholders.

The following is preferred for this role:

  • Experience withPyTorchand iterating on model performance using task-specific data and empirical evaluation.

  • Strong experience building and operating CI/CD pipelines for AI and software systems in Azure-based environments, including automated testing, deployment, and secure, reproducible releases.

  • Demonstrated enthusiasm for keeping current with advances in AI and machine learning, with the ability to translate new research, models, and techniques into practical, production-ready solutions (we'dlove to see yourGithubportfolio!)

  • Experience integrating machine learning models into custom applications

  • Azure Kubernetes experience

  • Experience designing, creating, and applying knowledge graphs to strengthen custom GenAI solutions.

Benefits:

Competitive Compensation

Comprehensive Benefits Packages

401(k) Match

Employee Stock Purchase Program

Tuition Reimbursement

Commuter Benefits

Learning and Development Opportunities

Strong Inclusion and Diversity Initiatives

Company-paid Volunteer Day

We're a different kind of chemistry company because we see our people as our biggest assets. Instead of focusing just on what our employees do each day, we look at how they do it-by taking a different approach to talent development, employee engagement, and culture. Our goal is to empower employees to be their best selves, at Chemours and in life.

Learn more about Chemours and our culture by visiting Chemours.com/careers.

Chemours is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, religion, color, gender, disability, national or ethnic origin, ancestry, marital status, family status, sexual orientation, gender identity or expression, or veteran status. Jurisdictions may have additional grounds for non-discrimination, and we comply with all applicable laws.

Chemours is an E-Verify employer

Candidates must be able to perform all duties listed with or without accommodation

Immigration sponsorship (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) is not currently available for this position

Don't meet every single requirement? At Chemours we are dedicated to building a diverse, inclusive, and authentic workplace for our employees. So if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the position description, we encourage you to apply anyways. You may just be the right candidate for this or other opportunities.

In our pursuit to be the greatest place to work, we know that a critical element to enhancing our employee experience is to assure we're operating with a solid foundation of trust. At Chemours, this means being transparent about how we pay our employees for the work that they do.

Pay Range (in local currency):

$126,067.00 - $196,980.00

Chemours Level:

27

Annual Bonus Target:

14%

The pay range and incentives listed above is a general guideline based on the primary location of this job only andnot a guarantee oftotal compensation. Factorsconsidered in extending a compensation offer include (but are notlimitedto) responsibilities of the job,experience, knowledge, skills,and abilities, as wellas internal equity, andalignment with marketdata. The incentive pay is dependent on business results and individual performance and subject to the terms and conditions of the specific plans.

At Chemours, you will find sustainability in our vision, our business and your future. If you want to work on the leading edge of your field and have a desire to make a difference, join Chemours and discover what it means when we say "We Are Living Chemistry."


What Chemours employees say

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Benefits

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Get the full story on Breakroom


Chemours logo

About Chemours

Sourced by ZipRecruiter

From the frontline to the back office, every Chemours employee is part of something bigger than themselves as together we work to create a better world through the power of our chemistry. Chemours is a $6.3 billion company with a portfolio of products and processes that enable technologies and products that people use every day in their lives. From cellular phones to lower emission vehicles, to 5G communications and clean energy from hydrogen, we're collaborating with customers to make these innovations more capable. Simply said, we use our chemistry to change lives, shape markets, and redefine industries-one improvement at a time.

Industry

Chemical manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Wilmington, DE, US

Year founded

2015

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