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

Tiger Analytics Inc.

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

We are seeking an experienced Data Engineer to join our data team. In this role, you will be ... Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS ...

Tiger Analytics Inc.

Senior Data Engineer

Chicago, IL · Remote

$108K - $147K/yr

We are seeking an experienced Data Engineer to join our data team. In this role, you will be ... Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS ...

RxSaveCard Inc

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

Key Responsibilities Data Engineering * Design, build, and maintain scalable data pipelines for ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

Ulta Beauty

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

Ulta Beauty, Inc.

Sr Data Engineer (Remote)

Bolingbrook, IL · Remote

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

Ulta Beauty, Inc.

Sr Data Engineer (Remote)

Bolingbrook, IL · Remote

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

Rethink

Data Engineer (Azure)

Atlanta, GA · On-site +1

$110K - $132K/yr

About the Role We're seeking a highly skilled and motivated hands-on Data Engineer to design, build ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

Stryker

Senior Lead Data Engineer (Remote)

Chicago, IL · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives ...

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader ...

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader ...

GATX

Lead Data Engineer

Chicago, IL · Remote

$105K - $139K/yr

Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader with 125 ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Oowlish Technology

Senior Data Engineer (Snowflake)

Chicago, IL · On-site +1

$109K - $148K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help ...

NinjaTrader

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

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

$109K - $148K/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 ...

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

Remote Amazon Data Engineer information

See Cicero, IL salary details

$44.7K

$130.4K

$178.4K

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

As of Aug 30, 2026, the average yearly pay for remote amazon data engineer in Cicero, IL is $130,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,200.00 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 Cicero, IL?

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

What job categories do people searching Remote Amazon Data Engineer jobs in Cicero, IL look for?

The top searched job categories for Remote Amazon Data Engineer jobs in Cicero, IL are:

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

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

Remote Amazon Data Engineer jobs near you

Senior Data Engineer

Chicago, IL • On-site, Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

$109K - $148K/yr

Full-time

Posted 11 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.
Requirements
Key Responsibilities:
  • Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and related data platform technologies.
  • Build and maintain scalable data processing and transformation workflows using Databricks, Apache Spark, and SQL.
  • Develop and maintain Apache Airflow workflows for pipeline orchestration, scheduling, dependency management, monitoring, and automation.
  • Integrate and process commercial pharmaceutical data sources such as Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and similar sources.
  • Build and optimize data pipelines supporting pharma KPIs, metrics, analytics, and reporting requirements.
  • Design and implement data pipelines for AI/ML and Generative AI workloads, including structured and unstructured data preparation.
  • Enable data pipelines supporting LLM-based applications, vector embeddings, and knowledge retrieval/RAG solutions.
  • Support migration of legacy data systems and pipelines to modern AWS cloud and lakehouse architectures.
  • Monitor, troubleshoot, and optimize data pipelines for performance, scalability, reliability, and cost-effectiveness.
  • Ensure data pipelines meet required standards for data quality, accuracy, consistency, and operational reliability.
  • Communicate effectively with technical and business stakeholders to understand requirements and translate pharmaceutical business needs into scalable data solutions.

Required Skills:
  • 8+ years of experience in Data Engineering, preferably with experience supporting commercial pharmaceutical/healthcare data environments.
  • Strong hands-on experience with AWS cloud, Databricks, Spark, and SQL
  • Strong experience building ETL/ELT data pipelines and large-scale data processing workflows.
  • Hands-on experience with Apache Airflow for workflow orchestration.
  • Strong understanding of data modeling, data lake/lakehouse architecture, data ingestion, and transformation frameworks.
  • Deep knowledge of commercial pharmaceutical data sources: Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and other commercial pharma data sources
  • Strong understanding of pharmaceutical commercial data processes, including: Alignment, Allocation, Split credits, Market basket, Customer universe
  • Strong understanding of pharma KPIs, metrics, and commercial analytics.
  • Strong analytical, problem-solving, and data troubleshooting skills.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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