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Remote Amazon Data Engineer Jobs in Niles, IL (NOW HIRING)

Data Analyst This person will be working on a team of data engineers, BI Developers and other data enthusiasts, assisting with a variety of functions as it relates to the end goal of powering data ...

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 ...

Data Analyst This person will be working on a team of data engineers, BI Developers and other data enthusiasts, assisting with a variety of functions as it relates to the end goal of powering data ...

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 ...

Senior Data Architect

Chicago, IL · On-site +1

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Engineering & Integration * Collaborate with engineering teams to optimize physical data ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

New

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... Develop feature engineering logic using structured and unstructured claims and incident data.

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... Develop feature engineering logic using structured and unstructured claims and incident data.

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

Lead Data Scientist (Remote)

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will be collaborating closely with our partners across ML Engineering, Data Engineering, Platform, Product, and Finance teams. You'll be instrumental in continuing to make Hyatt a ...

Sr. Streaming Engineer

Chicago, IL · On-site +1

$126K - $166K/yr

Responsibilities Support the application development of big data application for business ... Amazon Kinesis, etc. Kafka • [Required] Experience with cloud technologies and migrations.

Senior Backend Software Engineer

Chicago, IL · On-site +1

$165K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We embrace a hybrid work culture, with remote and Chicago team members working seamlessly to ... Develop and maintain ETL and data migration processes when needed, especially for imagery ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

New

Showing results 41-60

Remote Amazon Data Engineer information

See Niles, IL salary details

$44.3K

$129.1K

$176.7K

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

As of Aug 13, 2026, the average yearly pay for remote amazon data engineer in Niles, IL is $129,109.00, 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 are popular job titles related to Remote Amazon Data Engineer jobs in Niles, IL? For Remote Amazon Data Engineer jobs in Niles, IL, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Niles, IL look for? The top searched job categories for Remote Amazon Data Engineer jobs in Niles, IL are:
What cities near Niles, IL are hiring for Remote Amazon Data Engineer jobs? Cities near Niles, IL with the most Remote Amazon Data Engineer job openings:

Senior Software Engineer, Backend Services

University of Chicago Library

Chicago, IL • On-site, Remote

$126K - $166K/yr

Full-time

Medical, Retirement, PTO

Re-posted 1 hour ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities


Job description

Department

Globus Search & Insights


About the Department

Globus (www.globus.org) is a sustainable, non-profit unit within the University of Chicago delivering solutions to the research community worldwide. Globus develops and provides critical services that support scientific research for governmental, academic, and commercial organizations in a wide range of disciplines including life sciences, physics, and astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large-and growing-data management challenges. We have offices located at the NBC Tower in the heart of downtown Chicago and remote employees who work-from-home. Globus, together with Globus Labs, a research group within the University of Chicago, and part of the Data Science and Learning Division at Argonne National Labs, develop and deploy cutting edge technologies to solve new challenges facing the scientific community and enable break-through scientific discoveries.


Job Summary

As a senior member of the Globus product team, you will design and deliver new capabilities in Globus data management platform, with focus on the data automation services. Delivered as a hosted service (SaaS) and platform (PaaS), Globus' secure data management platform is used by researchers worldwide. This role is a great opportunity to work on innovative solutions to data management and task automation at scale that directly influence and accelerate research in various domains.
As a senior member of our team, the Senior Software Engineer, Backend Services will work in both collaborative and independent capacities on complex issues and projects, in some cases making progress under minimal guidance. We are looking for skilled Python engineers with experience building scalable systems to join the development team to expand the services delivered. In this role, you will architect new features, develop high-quality software and operate services with high-availability. If you enjoy collaborative, innovative, mission-driven environments, Globus could be a great fit for you!

Responsibilities

  • Architecture and Design - leads the definition and documentation of requirements, architecture and design of secure, scalable, asynchronous, data access services, based on deep knowledge of principles of API design, asynchronous processes, data engineering, service deployment, and delivery of services with high availability.
  • Software Development - develops, tests, documents, deploys and maintains high-quality software on a cloud-based platform, including REST interfaces, command-line interfaces, socket-based services, and data processing pipelines; works with other service and client development teams to integrate and design cross-service features. Leads code and design reviews, and mentors other junior engineers to ensure high quality service delivery.
  • Support and Documentation - works in close collaboration with the Globus front line support and professional services teams, and directly with end users, to provide technical support services; sometimes serving as the point of escalation for complex issues; responsible for ensuring standard operating procedures and protocols are maintained and documented.
  • Team Coordination and Professional Development - maintains a working knowledge of relevant software technologies being developed and/or used in scientific and commercial communities; contributes to team coordination and development activities, including project planning, project reporting, and recruitment.
  • Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
  • Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
  • Performs other related work as needed.


Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.


Work Experience:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.


Certifications:

---

Preferred Qualifications

Experience:

  • Professional experience in software engineering and delivering large scale systems.
  • 5+ years of relevant programming experience developing, implementing, debugging, and maintaining applications with Python.
  • Managing pipelines that process and transform large-scale datasets (terabyte-scale, billion+ records), including, building and maintaining data warehouses and data marts.

Technical Skills or Knowledge:

  • Developing, implementing, debugging, and maintaining applications with Python.
  • Generalized architecture patterns and service oriented architecture.
  • Python web frameworks such as FastAPI or Flask.
  • Unit testing and continuous integration tools, such as pytest, GitHub Actions and shell scripting, especially bash.
  • SQL databases, including PostgreSQL, SQLite.
  • Implementation of RESTful API services.
  • Development, deployment and operation of SaaS and PaaS systems.
  • Amazon Web Services, including IAM, boto3, S3, ECS, Cloud Formation, Step Functions, and Lambda.
  • Work with containers, such as Docker, and ECS.
  • Hands-on with modern data stack tooling, including PySpark, Iceberg/Delta Lake, Parquet, S3 Tables, Firehose, Kafka/Kinesis, or similar programs.
  • Elasticsearch/OpenSearch, including cluster management, text analysis pipelines, relevance tuning, and ranking strategies.
  • Integrating with large-scale, high-performance filesystems, such as Lustre, GPFS, and VAST.
  • Linux system programming, process execution and management.
  • Web security technologies, such as OAuth2, SAML, OpenID Connect and PKI.

Preferred Competencies

  • Excellent verbal and written communication skills.
  • Strong analytical and problem solving skills.
  • Excellent organizational skills and constant attention to detail.
  • Work both independently and as a team member.
  • Receptive to feedback; willing to learn and embrace continuous improvement.
  • Mastery of fundamental concepts, practices, and procedures of software development.
  • Confidentiality related to sensitive University matters such as strategic initiatives, trade secrets, quiet periods, and scientific discoveries yet to be put in the public domain.

Working Conditions

  • Occasional evening or weekend hours.
  • Participates in an on-call support rotation.
  • Remote work options are available for this position, with occasional attendance at in-person meetings.

Application Documents

  • Resume/CV (required)


When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Information Technology


Role Impact

Individual Contributor


Scheduled Weekly Hours

37.5


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Pay Rate Type

Salary


FLSA Status

Exempt


Pay Range

$150,000.00 - $170,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


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