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

Above Lending

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Above Lending

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Crash Champions

Senior Data Engineer - Remote

Westmont, IL · Remote

$106K - $144K/yr

Responsibilities Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data andReportinginitiatives across the organization. The primary ...

Benchmark Solutions LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

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.

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 ...

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 ...

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 ...

Kemper

Director, Data Science Operations

Chicago, IL · Remote

$160K - $226K/yr

Location(s) Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ ... Amazon Kinesis or Apache Kafka; languages such as Java or Scala. Travel: Up to 5% short-term ...

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 ...

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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 Aug 10, 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:
Remote Amazon Data Engineer jobs near you

Senior Data Engineer

Above Lending

Chicago, IL • On-site, Remote

$110K - $150K/yr

Full-time

Posted 13 days ago

Job description

Above Lending is a next-generation financial services company helping everyday Americans break the cycle of high-cost debt and move toward a stronger financial future. Through customized lending solutions, competitive rates, and personalized support, our mission is to simplify the lending process and help our clients achieve financial well-being. We are committed to making credit more affordable and accessible; backed by a culture grounded in compliance and ethics, and technology built around the people we serve.

We are growing quickly, and we are looking for new collaborators to help us reach the next level. If you want to join a forward-thinking, rapidly growing organization where helping people is the number one goal, we want to hear from you.


We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems Engineer.

This is a deeply hands-on role. You'll spend the majority of your time writing SQL, building pipelines, and working directly with raw data. Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as the ability to analyze data - spotting patterns, questioning results, and understanding what the numbers actually mean. You'll take ambiguous problems, break them down, and deliver reliable, scalable solutions without step-by-step guidance.

Strong candidates will be comfortable with messy source data, incomplete documentation, and figuring things out. If you need heavy direction or clean inputs to do your best work, this role likely isn't the right fit.

This is a hybrid role based in Chicago, IL. We are not hiring remote candidates at this time. 
What You'll Do
  • Build and own end-to-end data pipelines (ingestion → staging → marts) using Snowflake, Airflow, Fivetran, and DBT.
  • Work directly with raw data. Identify issues and implement fixes in base and staging layers before they propagate downstream.
  • Design data models that are simple, scalable, and trusted by the business.
  • Write advanced, high-performance SQL.
  • Understand the underlying database technology: execution plans, indexing, clustering, and storage behavior.
  • Debug data issues deeply, tracing problems across systems.
  • Use Python for ETL automation, scripting.
  • Build and enforce data quality checks that prevent bad data from reaching consumers.
  • Monitor pipelines proactively and resolve issues.
What You Bring
  • 5+ years of hands-on data engineering experience - including administration or support. 
  • Fintech or similarly data-intensive environments preferred.
  • Expert-level SQL: joins, window functions, performance trade-offs.
  • Proven experience building data models and marts from raw, imperfect source data.
  • Solid Python skills applied to practical data engineering problems.
  • Hands-on experience with Snowflake, Airflow, Fivetran, and DBT.
  • A high bar for data quality - you don't trust a number until you've validated it.
  • The ability to operate independently, make decisions under ambiguity, and follow problems through to resolution.
What Sets You Apart
  • You've debugged data issues others couldn't explain.
  • You've worked with poorly documented or unreliable source systems and made them usable.
  • You've said "this number is wrong" - and proved it.
  • You care about correctness as much as performance.
  • You default to solving problems, not escalating them.
This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities.
Join our dynamic team and contribute to Above Lending’s success as we continue to provide innovative lending solutions to our customers.
 
Under the California Consumer Privacy Act (“CCPA”), Above Lending is informing California residents who are our job applicants, contractors or prospective employees (together “job applicants”) about the categories of personal information we collect about you and the purposes for which we will use this information. This notice and our Privacy Policy contain important information relating to the CCPA and apply only to personal information that is subject to the CCPA. Please see our website for the full CCPA statement.
 
*Above Lending is an equal opportunity Employer*
Above Lending does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job positions.  No fee will be paid to their parties who submit unsolicited candidates directly to Above Lending employees or the Above Lending Finance and HR teams.  No placement fee will be paid to any third party unless such a request has been made by the Above Lending HR team.

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.