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

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Payline Data

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

... 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 ...

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 ...

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Showing results 21-40

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

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 Sep 4, 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 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 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:

Remote Amazon Data Engineer jobs near you

Senior Data Engineer - Cybersecurity

Ford Motor Company

Downers Grove, IL • Remote

$99K - $192K/yr

Full-time

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description


We are looking for a skilled GCP Data Engineer to join our EPEO - Data and AI Ops team. In this role, you will play a critical part in designing, developing, and maintaining our Security Data Lake and associated data products using GCP Cloud platform
Responsibilities
  • Design, develop, and maintain robust data pipelines using GCP native services.
  • Build and manage data quality frameworks to ensure the integrity and reliability of security data assets.
  • Integrate diverse data sources and security tools via APIs to centralize security oversight.
  • Optimize database performance, query efficiency, and storage costs within Google BigQuery.
  • (Preferred) Utilize Cribl to route, shape, and enrich incoming security telemetry and log data.
  • Develop, deploy, and monitor automated data pipelines (ETL/ELT) using Python, SQL, and GCP services (such as Cloud Functions, Cloud Scheduler, and Dataflow).
  • Manage and optimize schema designs, partitioning, and clustering in Google BigQuery to ensure cost-effective and high-performance querying.
  • Implement and scale data quality and auditing frameworks using GCP Dataplex with centralized rules metadata configuration.
  • Design and maintain robust API integrations (e.g., EAMS, TrendMicro, and other threat detection platforms) to ingest critical security logs.
  • [Preferred/Good to Have] Configure and manage Cribl Stream pipelines (sources, destinations, routes, and functions) to parse, mask, enrich, and route security logs.
  • [Preferred/Good to Have] Implement log reduction strategies in Cribl to optimize data ingestion and lower downstream storage costs.
  • Partner with security teams to deliver actionable data products, reporting views, and tactical dashboards to prevent service outages.

Qualifications
Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Technology, or a related technical field (or equivalent combination of education and experience).
Experience: 8+ years of professional experience in Data Engineering, Cloud Data Warehousing, or software development.
Cloud Expertise: 5+ years of hands-on experience designing and implementing production-grade solutions on Google Cloud Platform (GCP), specifically utilizing native services such as Google BigQuery, Cloud Run/Functions, and Cloud Storage, Dataflow, PubSub
Programming & Querying: High proficiency in Python and advanced SQL for building, optimizing, and troubleshooting complex ETL/ELT pipelines.
Collaboration: Excellent written and verbal communication skills, with a proven ability to collaborate effectively with cross-functional teams in an agile environment.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is a salary grade 7-8 and ranges from $99,600-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
#LI-Remote
#LI-GR1
About Us
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
About the Team
We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people's lives. Join the Ford family as we change the way the world moves.

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