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No Experience Data Engineer Jobs in Park Ridge, IL

The Pricing Data Engineer works under minimal supervision, and relies on significant experience to plan and accomplish objectives. Essential Functions and Responsibilities: * Design and maintain ...

We are seeking an experienced Big Data Engineer to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem ...

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Retirement

  • PTO

Experience in the design and implementation of data architecture solutions * A wide range of ... and no vesting period to help you continue to build financial wellness CapTech is an equal ...

Data Engineer - Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$85K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience building or contributing to data pipelines that feed AI tools, including Model Context ... Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in ...

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience building or contributing to data pipelines that feed AI tools, including Model Context ... Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in ...

Senior Data Engineer

Chicago, IL · On-site

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Factory (pipelines, triggers, monitoring) • Databricks (Delta Lake, workflows, clusters) • Azure (ADLS Gen2, Azure SQL, Resource Groups, Portal) • Pulumi (Infrastructure as Code) • Azure ...

Senior Data Engineer

Chicago, IL · On-site

$120K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Factory (pipelines, triggers, monitoring) • Databricks (Delta Lake, workflows, clusters) • Azure (ADLS Gen2, Azure SQL, Resource Groups, Portal) • Pulumi (Infrastructure as Code) • Azure ...

Showing results 41-60

No Experience Data Engineer information

See Park Ridge, IL salary details

$43.8K

$127.6K

$174.7K

How much do no experience data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for no experience data engineer in Park Ridge, IL is $127,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $135,300.00 per year, depending on experience, location, and employer.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

What are the most commonly searched types of Data Engineer jobs in Park Ridge, IL?

The most popular types of Data Engineer jobs in Park Ridge, IL are:

What are popular job titles related to No Experience Data Engineer jobs in Park Ridge, IL?

For No Experience Data Engineer jobs in Park Ridge, IL, the most frequently searched job titles are:

What job categories do people searching No Experience Data Engineer jobs in Park Ridge, IL look for?

The top searched job categories for No Experience Data Engineer jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for No Experience Data Engineer jobs?

Cities near Park Ridge, IL with the most No Experience Data Engineer job openings:

Pricing Data Engineer

Mwe

Chicago, IL

$110K - $169K/yr

Full-time

Re-posted 8 hours ago


Job description

Build your big career with the firm that does Big Law, Better. McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work.

At McDermott, we don't just invest in your future, we accelerate your career - wherever it may lead. That includes supporting you both in and outside of the office.

With us, you'll find:

  • A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity - we encourage you to be yourself!

  • Enthusiasm for all perspectives: We're smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive.

  • Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That's why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance.

  • Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence.

Job Description:

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable consistent, data-driven pricing across the firm while modernizing workflows and reducing reliance on manual processes. This role supports scalable solutions and the integration of AI-driven capabilities to enhance pricing analysis and insights, and collaborates with cross-functional teams to align with firm standards and continuous improvement efforts. The Pricing Data Engineer works under minimal supervision, and relies on significant experience to plan and accomplish objectives.

Essential Functions and Responsibilities:

  • Design and maintain scalable pricing workflows that support consistent matter scoping, budgeting, and financial analysis across the firm

  • Build and maintain a centralized pricing data infrastructure, consolidating data from multiple systems to support firmwide pricing

  • Support the development and maintenance of pricing strategies for AI-enabled legal services and emerging delivery models

  • Develop and manage data pipelines and queries to support pricing analysis and reporting

  • Modernize pricing workflows by reducing reliance on manual processes and implementing scalable, system-driven solutions

  • Design and deliver pricing tools, including budget builders, scenario modeling, and comparable matter analysis interfaces

  • Integrate AI capabilities into pricing workflows to enhance analysis, forecasting, and decision-making

  • Collaborate with cross-functional teams to support effective pricing, planning, and monitoring of matters through data-driven tools

  • Establish feedback loops to track performance and continuously improve pricing models, tools, and methodologies

  • Develop pricing frameworks and unit economics to support AI-enabled legal work, enabling partners to price, monitor, and refine matters

  • Design pricing processes to be natively executable using AI tools

  • Design and maintain a centralized pricing data layer to support consistent data access and usability

  • Enhance data granularity to enable detailed pricing analysis across phase, task, and resource levels

  • Ensure consistency, transparency, and governance across all pricing data, tools, and methodologies

Job Specifications:

  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred

  • Strong SQL and Python skills, with experience building scalable workflows, structured data pipelines, automation, APIs, and reporting solutions

  • Experience working with AI platforms, automation tools, or AI-enabled workflows preferred

  • Knowledge of cloud data warehouses and experience with cloud-based data platforms and data visualization/reporting tools preferred

  • Strong mathematical and analytical skills

  • Ability to work under tight deadlines and prioritize responsibilities

Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses.


Target Hiring Range $110,000 - $169,000


Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Physical Demands and Work Environment:

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands:

  • While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear

  • Employee must occasionally lift up to twenty (20) pounds

Work Environment:

Typical indoor office environment

Disclaimer:

The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.