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No Experience Data Engineer Jobs in Park Ridge, IL

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Experience with modern data platforms like Databricks, Snowflake, or BigQuery * Comfort working in ...

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience: * 5+years of experience in data engineering, including building and managing pipelines ... Note: No amount of pay is considered to be wages or compensation until such amount is earned ...

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... Practical experience with Delta Lake fundamentals - ACID transactions, OPTIMIZE/Z-ORDER ...

Data Engineer - Databricks

Chicago, IL · On-site

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... Practical experience with Delta Lake fundamentals - ACID transactions, OPTIMIZE/Z-ORDER ...

Data Engineer - Senior Associate

Rosemont, IL

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer - Senior Associate

Chicago, IL

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Senior Data Engineer

Chicago, IL · On-site

$150K - $200K/yr

Experience designing and developing big data warehouses and ETL pipelines. * Proven knowledge of ... No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The ...

Senior Data Engineer

Chicago, IL · On-site

$150K - $200K/yr

Experience designing and developing big data warehouses and ETL pipelines. * Proven knowledge of ... No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The ...

Senior Data Engineer (Apache Flink)

Chicago, IL · On-site

$118K - $141K/yr

About the Role We're looking for an experienced data engineer to design, build, and operate our real-time event-processing pipeline. You'll own a system that ingests high-volume event data (100M ...

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Hands on experience working with tools in Big Data ecosystem * Hands on experience in building ... Full stack Java developer * Hands on experience in building production applications using Node.js ...

Experience designing and developing big data warehouses and ETL pipelines. * Proven knowledge of ... No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

EXPERIENCE AND QUALIFICATIONS: Required Skills - Experience and comfort solving problems in an ... Experience designing and building scalable and robust data pipelines to enable data-driven ...

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Hands on experience working with tools in Big Data ecosystem * Hands on experience in building ... Full stack Java developer * Hands on experience in building production applications using Node.js ...

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Hands on experience working with tools in Big Data ecosystem * Hands on experience in building ... Full stack Java developer * Hands on experience in building production applications using Node.js ...

Senior Data Engineer

Chicago, IL · On-site

$112K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... no employee contribution required. * Employee discounts, tuition reimbursement, student loan ... Hands-on experience with cloud platforms like AWS, GCP, or Azure, especially for data storage ...

Data Engineer / Analytics Developer

Chicago, IL · On-site

$118K - $141K/yr

Web Development Hands-on experience with full-stack development tools, specifically Next.js, Prisma, and integration with LLMs (e.g., Google Gemini). Data Engineering Expert-level knowledge of ...

Web Development Hands-on experience with full-stack development tools, specifically Next.js, Prisma, and integration with LLMs (e.g., Google Gemini). Data Engineering Expert-level knowledge of ...

Senior Data Engineer

Chicago, IL

$112K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... no employee contribution required. * Employee discounts, tuition reimbursement, student loan ... Hands-on experience with cloud platforms like AWS, GCP, or Azure, especially for data storage ...

Senior Data Engineer

Chicago, IL

$112K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... no employee contribution required. * Employee discounts, tuition reimbursement, student loan ... Hands-on experience with cloud platforms like AWS, GCP, or Azure, especially for data storage ...

Showing results 21-40

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:

Associate Data Engineer

Cohort AI Inc.

Naperville, IL • Remote

$114K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About the Role

We’re looking for an Associate Data Engineer to join our team and help make data reliable, usable, and impactful.

In this role, you’ll work closely with different teams to bring in new datasets, clean and transform them, and make sure they’re ready for analysis. A big part of your work will involve building and maintaining data pipelines, mapping data into standard formats, and ensuring everything runs smoothly behind the scenes.

This is a great opportunity if you’re early in your data engineering career and enjoy working hands-on with data, solving real-world problems, and learning how large-scale data systems operate—especially in the healthcare space.

Responsibilities:
  • Build and maintain data pipelines to ingest, transform, and organize data from multiple sources

  • Work with clinical, claims, or similar structured datasets and map them into standardized data models

  • Run data quality checks to ensure accuracy and consistency

  • Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities

  • Collaborate with cross-functional teams including data, product, and business stakeholders

  • Help maintain ongoing data refresh processes and troubleshoot pipeline issues when needed

Needed:
  • Bachelor’s degree in Computer Science or a related field (or equivalent hands-on experience)

  • Strong working knowledge of SQL

  • Familiarity with Python, PySpark, or SparkSQL

  • Experience with modern data platforms like Databricks, Snowflake, or BigQuery

  • Comfort working in a remote, collaborative environment

  • Based in the United States (preferred time zones: Central, Mountain, or Pacific)