Top 186 Data engineer Jobs in Melrose Park Il

Staff Data Engineer (Auth0)
Okta —Chicago, IL
- $174,000 - $238,700 a year
- Hybrid work
- System design
- HIPAA
- 8 years
Quick Apply
Lead Data Science Engineer
Health Care Service Corporation —Chicago, IL
- $121,200 - $225,200 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Doctor of Philosophy
ASSOCIATE, DATA ENGINEER
Cresset Capital —Chicago, IL
- $85,000 - $110,000 a year
- Computer Science
- Mid-level
- AWS
- Health savings account
- Disability insurance
Quick Apply
Data Engineer
Inspire11 —Chicago, IL
- $89,700 - $147,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Paid jury duty
- Commuter assistance
Data Engineer
Cushman & Wakefield —Chicago, IL
- $114,750 - $135,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Health savings account
- Disability insurance
Quick Apply
Data Engineer
The Hartford —Chicago, IL
- $100,960 - $151,440 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Office
10d
Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Chicago, IL
- $90,000 - $200,000 a year
- Full-time
- Azure
- DevOps
- Mid-level
- Loan repayment program
- Disability insurance
Quick Apply
Data Engineer
HAVI Logistics GmbH —Chicago, IL
- $100,000 - $115,000 a year
- Online Application
- Hybrid work
- Computer Science
- Office
- SQL
- Profit sharing
- Paid parental leave
Data Platform Engineer
Walker Consultants —Chicago, IL
- $85,000 - $120,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- SQL
- Paid parental leave
- Health savings account
Quick Apply
Data Engineer, Data & AI Platforms
Zeno Group —Chicago, IL
- $150,000 - $200,000 a year
- Full-time
- Hybrid work
- 6 years
- Mid-level
- SQL
- Paid holidays
- Disability insurance
Data Engineer II (Hybrid)
American Medical Association —Chicago, IL
- $85,396 - $112,925 a year
- Hybrid work
- Mid-level
- Office
- SQL
- Disability insurance
- Health insurance
Data Engineer
Excel Sports Management —Chicago, IL
- $100,000 - $115,000 a year
- Computer science
- Azure
- Computer Science
8d
Data Engineer
Havi Supply Chain —Chicago, IL
- $100,000 - $115,000 a year
- Online Application
- Hybrid work
- Computer Science
- Mid-level
- Office
- Profit sharing
- Paid parental leave
Data Engineer
Contact Government Services, LLC —Chicago, IL
- $112,597.33 - $152,810.66 a year
- Full-time
- Hybrid work
- 7 years
- SQL
- IT
- Health insurance
- Dental insurance
Quick Apply
Junior Architect / Senior Data Engineer - Remote
Optum —Schaumburg, IL
- $91,700 - $163,700 a year
- Full-time
- Hybrid work
- 5 years
- Pass drug screening
- System design
10d
Data Engineer
Narvee Technologies —Chicago, IL
- Email
- Computer Science
- Mid-level
- 3 years
Data Engineer
Covista —Lisle, IL
- $74,064.94 - $133,901.96 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Paid holidays
- Disability insurance
Quick Apply
Data Engineer
W.W. Grainger —Lake Forest, IL
- $95,000 - $158,400 a year
- Hybrid work
- DevOps
- 3 years
- Python
- Paid parental leave
- Dental insurance
Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate)
Huron Consulting Services LLC —Chicago, IL
- $110,000 - $177,000 a year
- Full-time
- Remote
- Computer Science
- Bachelor of Science
- Java
- Dental insurance
Quick Apply
Data Operations Engineer Associate
Huron Consulting Services LLC —Chicago, IL
- $100,000 - $171,100 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Dental insurance
- Vision insurance
Quick Apply

I want to receive the latest job alert for data engineer in melrose park il

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Staff Data Engineer (Auth0)

Okta -
Chicago, IL

Quick Apply

Job Details

$174,000 - $238,700 a year

Qualifications

Commercial use (data warehousing systems)
Software engineering
Data Integration (Data management)
Cloud data warehouses
Managing projects in an engineering role
Team leadership
Software coding
System design
Scalable systems
Snowflake
Infrastructure architecture design
SQL
Data pipeline scheduling
Airflow
Leading team collaboration initiatives
Scalability
Cloud Architecture Design (Architecture design skills)
Python
Design (software development lifecycle)
Cross-functional communication
Database software proficiency

Full Job Description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Auth0 Data Engineering Team

Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:

Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization's analysis, reporting and decision-making
Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data

The Staff Data Engineer Opportunity

Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for strategic platform initiatives, beginning with a critical mission: making our data platform FEDRamp compliant.

Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for the architectural evolution of our core data platform.

This is a high-impact, strategic role where you will not be focused on day-to-day operations. Instead, you will lead the discovery, design, and implementation of the next-generation architecture for our data systems, ensuring they are scalable, reliable, and secure. You will work across multiple data, platform, and security teams to define the architectural roadmap and drive its successful execution. We are looking for a seasoned engineer who thrives on solving complex, ambiguous problems and can drive technical alignment across the organization.

Please note: Due to the strategic nature of upcoming projects, this position is open only to US citizens or Green Card holders currently residing in the United States.

What you'll be doing

Lead the architectural design and evolution of our data platform, defining the roadmap for its future state.
Drive technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
Collaborate deeply with engineers and leaders from other data, platform, and security teams to create a unified and secure architecture.
Produce architectural artifacts, including design documents, threat models, and technical specifications, to create clarity and alignment for complex initiatives.
Act as a technical mentor and force-multiplier for the Data Engineering team, elevating the performance of the group through guidance, code reviews, and sharing best practices.
Implement foundational components of new architecture, proving out designs with hands-on coding and providing a model for other engineers to follow.

What you'll bring to the role

A passion for building secure, reliable, and scalable data systems.
8+ years of software development experience, with at least 5+ years in a data engineering or data platform role.
Proven experience designing and delivering large-scale, cross-functional technical projects.
Extensive experience architecting and deploying data infrastructure in a cloud environment (AWS strongly preferred).
Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
Strong proficiency in Python and SQL, with a high bar for code quality and system design.
Excellent communication skills, with the ability to create clarity and drive decisions on complex technical topics.
The ability to deal with ambiguity, define a path forward, and lead others to successful outcomes.

And extra credit if you have experience in any of the following!

Direct experience with security compliance frameworks like FEDRamp, SOC2, or HIPAA.
Hands-on experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes).
Experience working in government cloud environments (e.g., AWS GovCloud).
Familiarity with the Identity Access & Management (IAM) domain.

#LI-HYBRID

#LI-SH1
P15265_3426903

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Quick Apply

Refine Your Search

data engineer jobs in melrose park il

Staff Data Engineer (Auth0)

Lead Data Science Engineer

ASSOCIATE, DATA ENGINEER

Data Engineer

Data Engineer

Data Engineer

Data Engineer (AWS, Azure, GCP)

Data Engineer

Data Platform Engineer

Data Engineer, Data & AI Platforms

Data Engineer II (Hybrid)

Data Engineer

Data Engineer

Data Engineer

Junior Architect / Senior Data Engineer - Remote

Data Engineer

Data Engineer

Data Engineer

Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate)

Data Operations Engineer Associate

I want to receive the latest job alert for data engineer in melrose park il

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected