Top 19 Aws data engineer Jobs in Naperville, Il

Data Engineer
American Academy of Sleep Medicine —Darien, IL
- $100,000 - $110,000 a year
- Full-time
- Hybrid work
- Background check
- Azure
- Mid-level
- Paid parental leave
- Health savings account
Senior Data Engineer
Climate Pros —Glendale Heights, IL
- Remote
- 7 years
- Azure
- System design
Machine Learning Engineer
Darwill, Inc. —Oakbrook Terrace, IL
- Hybrid work
- Computer Science
- Mid-level
- Office
Quick Apply
Software Engineer - Product and Workflow Support
Illinois Credit Union League —Naperville, IL
- $90,000 - $95,000 a year
- Full-time
- Hybrid work
- 5 years
- HIPAA
- Windows
- Health savings account
- Health insurance
Quick Apply
1d
Lead Data Engineer – Enterprise Cloud & AI Solutions - AIRLHV
NavitasPartners —Naperville, IL
- From $40 an hour
- Full-time
- Hybrid work
- Azure
- AWS
- Senior level
Quick Apply
Staff Data Engineer
US AMR-Jones Lang LaSalle Americas, Inc. —Westmont, IL
- $160,000 - $200,000 a year
- Online Application
- Background check
- Azure
- System design
- Paid parental leave
- Paid holidays
Quick Apply
13d
Senior Data Engineer
US AMR-Jones Lang LaSalle Americas, Inc. —Westmont, IL
- $140,000 - $180,000 a year
- Online Application
- Background check
- Azure
- System design
- Paid parental leave
- Paid holidays
Quick Apply
11d
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Rosemont, IL
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Rosemont, IL
- $99,000 - $232,000 a year
- 5 years
- DevOps
- Research
- Paid holidays
- Health insurance
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Rosemont, IL
- $77,000 - $202,000 a year
- Computer Science
- Mentoring
- Fair chance
- Paid holidays
- Health insurance
GenAI Python Systems Engineer – Senior Associate
PRICE WATERHOUSE COOPERS —Rosemont, IL
- $77,000 - $202,000 a year
- Azure
- Computer Science
- 3 years
- Paid holidays
- Health insurance

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Based on your search for aws data engineer

Data Engineer
American Academy of Sleep Medicine —Darien, IL
This role calls for strong T-SQL and SQL Server expertise, hands-on experience with ELT development and dimensional modeling (star schema and snowflake), and…
$100,000 - $110,000 a year
Lead Data Science Engineer
Health Care Service Corporation —Chicago, IL
Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master’s degree and 4 years of work experience in a…
$121,200 - $225,200 a year
5d

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Lead Data Engineer
Agility Partners —Dublin, OH
Collaborate with business and technical stakeholders to define, test, and deploy clean, optimized pipelines. Proven track record of cloud data engineering work…
$145,000 - $150,000 a year
Quick Apply
5d
Analytics Engineer
OCLC —Dublin, OH
Bachelor's degree in computer science, data science, related discipline, or equivalent work experience. 2-4 years of relevant experience in software development…

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aws data engineer jobs near naperville, il

Data Engineer

American Academy of Sleep Medicine
Darien, IL

Apply Now

Job Details

Full-time
$100,000 - $110,000 a year

Benefits

Paid parental leave
Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Flexible spending account
Tuition reimbursement
Paid time off
Flextime
Parental leave
Employee assistance program
Vision insurance
Professional development assistance
Flexible schedule
Life insurance
Referral program
Pet insurance

Qualifications

Data integrity assurance
Data model design
Regression testing implementation
Commercial use (data warehousing systems)
Data visualization software proficiency
Data Integration (Data management)
Data validation techniques
Scalable systems
Schema design
SQL
Data Architecture Design (Architecture design skills)
ETL process automation
Business intelligence tools
Data integrity process (data warehousing)
Scalability
Data performance optimization
Data transformation
Test validation method
Project stakeholder communication
Data analytics technologies
Cross-functional communication
Validation design
Dimensional modeling
T-SQL

Full Job Description

Data Engineer (Mid-level) | Information Technology

Location: Darien, IL (Hybrid – Local Candidates Only)

Salary Range: $100,000 - $110,000 base salary + annual incentive bonus

Travel: Minimal (up to 5%)

Company Overview

The American Academy of Sleep Medicine (AASM) is the only professional society in the U.S. dedicated exclusively to the medical subspecialty of sleep medicine. Founded in 1975 and based in Darien, IL, AASM advances sleep care and improves lives through education, advocacy, research, and accreditation. We represent more than 11,000 accredited member sleep centers and individual members nationwide.

In pursuit of improving sleep health and promoting high-quality patient-centered care for all people, the AASM is dedicated to fostering a culture that is committed to excellence, inclusive, flexible, collaborative, appreciative, supportive, and innovative. Our staff connects to these team values in many ways, and we are looking for others who would like to experience the same.

We support work-life balance through a hybrid work environment and encourage employees to work in the office two days per week, with Wednesday as an anchor day to promote connection and collaboration. Managers with direct reports are required to be onsite on Wednesdays. All employees report onsite twice per year for two consecutive days for all-staff meetings and functions. Due to these requirements, only local candidates will be considered, requiring onsite presence.

Position Overview

AASM is looking for a Data Engineer who enjoys building well-designed pipelines and turning raw source data into something people can actually use. This role calls for strong T-SQL and SQL Server expertise, hands-on experience with ELT development and dimensional modeling (star schema and snowflake), and the ability to create analytics-ready datasets that power better reporting and decision-making. As part of a growing BI function, you'll partner with stakeholders, deliver practical solutions, and play a meaningful role in how the organization works with its data.

What You’ll Do

Design, build, and maintain scalable data pipelines to ingest, transform, and load data into a centralized data warehouse.
Integrate data from APIs and SaaS platforms, developing automated ingestion workflows with appropriate controls (e.g., authentication, pagination, rate limiting, incremental loads).
Implement and optimize ELT processes in SQL Server to ensure performance, reliability, and scalability.
Develop and maintain data models (e.g., star and snowflake schemas) to support reporting and analytics.
Partner with business and technical stakeholders to translate requirements into effective data solutions.
Ensure data quality and consistency by implementing automated validation checks and resolving pipeline issues.
Document data systems and processes, support governance standards, enable BI integration (e.g., Power BI), and advance self-service analytics.

What We’re Looking For

Bachelor’s degree in a related field or equivalent experience
3+ years of data engineering or ELT experience
Strong SQL Server proficiency for ELT and data transformation, with experience in BI tools (e.g., Power BI) and data warehousing best practices.
Advanced knowledge of data modeling (e.g., star and snowflake schemas) and data architectures, including data lakes and lakehouse environments.
Ability to design, optimize, and scale data pipelines for performance and reliability.
Proficiency in Python (or similar) for data manipulation and automation, with knowledge of API standards (e.g., REST, OAuth) for secure integration.
Experience implementing automated data pipeline testing, including validation, quality checks, and regression testing.
Strong communication skills to collaborate with technical and business stakeholders.

Preferred Qualifications

Experience with cloud platforms (Azure, AWS)
Familiarity with tools like Microsoft Fabric, Snowflake, or Databricks
Knowledge of API integrations (REST, OAuth)
Experience with data testing and quality validation
Understanding of data lake/lakehouse concepts
Relevant certifications in data or cloud technologies

Our Culture and Benefits
The AASM is proud to be an Equal Employment Opportunity employer and a recipient of the 2025 Best Workplaces in Illinois award. We celebrate diversity and are committed to creating an inclusive environment for all employees. Aside from the great job opportunity, we offer a collaborative and fun work culture with amazing benefits. Visit "Working at AASM" for a glimpse of AASM work life.  

Affordable medical & dental coverage for you and your family
Free life & disability insurance
3 weeks of PTO plus paid company holidays
8 weeks PAID parental leave
Flex-time hours
Business casual environment
Generous 401(k) plan
Flexible spending & dependent care accounts
Health savings account with generous employer contributions
Professional development (association membership, tuition reimbursement, certification, LinkedIn Learning)
Pet insurance
Theft ID coverage
Discounted fitness membership
Door Dash meal perks
Service recognition and peer-to-peer platform
Weekly Wellness Wednesdays
Twice daily plank breaks
Seasonal staff events

Pay: $100,000.00 - $110,000.00 per year

Benefits:

401(k)
Dental insurance
Employee assistance program
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Referral program
Tuition reimbursement
Vision insurance

Work Location: Hybrid remote in Darien, IL

Apply Now

Refine Your Search

aws data engineer jobs in naperville, il

Data Engineer

Senior Data Engineer

Machine Learning Engineer

Software Engineer - Product and Workflow Support

Lead Data Engineer – Enterprise Cloud & AI Solutions - AIRLHV

Staff Data Engineer

Senior Data Engineer

Data Engineer - Senior Manager

Data Engineer - Manager

Data Engineer - Senior Associate

GenAI Python Systems Engineer – Senior Associate

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