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Remote Amazon Data Engineer Jobs in Elmhurst, IL

Kobie Marketing

AI Engineer

Chicago, IL · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

Posted today

Kobie Marketing

AI Engineer

Chicago, IL · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Amtrak

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL · On-site +1

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and intelligent data broadly accessible for decision-making, automation, and innovation. This role is ...

Payline Data

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

  • Medical

  • Dental

  • Vision

  • PTO

... Amazon Web Services. * Knowledge and experience in designing SQL, NoSQL and other databases ... Conduct server coding sessions for application developers. * Rewrite and tune poorly performing ...

Amtrak

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL · On-site +1

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and intelligent data broadly accessible for decision-making, automation, and innovation. This role is ...

VeeRteq Solutions Inc.

Data Modeler

Chicago, IL · Remote

$56 - $72.75/hr

Remote (Prefer PST, 2nd Preference CST) USA Experience: Minimum 10+ years As a Senior Data Modeler ... Collaborate with ETL and Data Engineering teams on data ingestion, orchestration, and ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Posted today

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Posted today

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Collaborate with cross-functional teams, including engineering, data, and business stakeholders ...

Generac

Sales Engineer - Data Centers

Chicago, IL · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

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Showing results 41-60

All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Elmhurst, IL

Remote Amazon Data Engineer information

See Elmhurst, IL salary details

$44.3K

$129.2K

$176.8K

How much do remote amazon data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote amazon data engineer in Elmhurst, IL is $129,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $136,900.00 per year, depending on experience, location, and employer.

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 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.

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 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 cities near Elmhurst, IL are hiring for Remote Amazon Data Engineer jobs?

Cities near Elmhurst, IL with the most Remote Amazon Data Engineer job openings:

Remote Amazon Data Engineer jobs near you

AI Engineer

Kobie Marketing

Chicago, IL • Remote

Full-time

Re-posted 20 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 
 
·         Flexible Time Off to recharge when needed 
·         Nine Company-Wide Holidays 
·         A diverse suite of benefits prioritizing your growth, development, and personal well-being 
 
Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 
 
Travel Requirements:
As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances our culture. While travel requirements vary by role, periodic travel may be required to support business objectives, team collaboration, customer engagements, training, and company events. Candidates should be able and willing to travel as needed to fulfill the responsibilities of the role. 
 

About the team and what we’ll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There’s no single path into this role. We value the impact of what you’ve built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.