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No Experience Data Engineer Jobs in Park Ridge, IL

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

At least 3 years of proven experience as a Data Engineer. * Expert proficiency in Python, C++, Java, R, and SQL. * Familiarity with Hadoop or suitable equivalent. * Excellent analytical and problem ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with ... Experience with Git, Octopus, and Azure DevOps for CI/CD

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

At least 3 years of proven experience as a Data Engineer. * Expert proficiency in Python, C++, Java, R, and SQL. * Familiarity with Hadoop or suitable equivalent. * Excellent analytical and problem ...

The Hartford

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Experience building and supporting data pipelines in cloud-based environments. * Experience with ...

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala ... No immigration sponsorship is available for this position. The firm's expected hiring range for ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

No finance or economics study or work experience required Also helpful, but not required: * Past internship or job experience in a data engineering role is a plus * Advanced coursework in algorithms ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

No finance or economics study or work experience required Also helpful, but not required: * Past internship or job experience in a data engineering role is a plus * Advanced coursework in algorithms ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL

$250K/yr

No finance or economics study or work experience required Also helpful, but not required: * Past internship or job experience in a data engineering role is a plus * Advanced coursework in algorithms ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL

$250K/yr

No finance or economics study or work experience required Also helpful, but not required: * Past internship or job experience in a data engineering role is a plus * Advanced coursework in algorithms ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

Aldridge is seeking an experienced and dedicated Data Engineer to join our talented and energetic team. The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects ...

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

Education and Experience: * A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience. * 2+ years of professional experience in data ...

The Hartford

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Experience in R (preferred), Python, and SQL * Experience in ingesting data from a variety of ...

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

Education and Experience: * A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience. * 2+ years of professional experience in data ...

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

Education and Experience: * A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience. * 2+ years of professional experience in data ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$111K - $133K/yr

Aldridge is seeking an experienced and dedicated Data Engineer to join our talented and energetic team. The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects ...

Apex Informatics

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience providing data flow diagram, table structure and ETL specifications including ... Demonstrate strong negotiation skills while working with developers, architects to solution the ...

Cohort AI Inc.

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 ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Chicago, IL

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

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 ...

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All JobsData Engineer JobsNo Experience Data Engineer JobsNo Experience Data Engineer Jobs in Park Ridge, IL

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 4, 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 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 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:
No Experience Data Engineer jobs near you

Data Engineer

Tredence Analytic

Chicago, IL

$118K - $141K/yr

Full-time

Re-posted 14 days ago

Job description

Company Description

Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.

Job Description

We are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.

To ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.

Essential Responsibilities

  • Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)
  • Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
  • Design, develop, and implement data processing pipelines at scale
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.
    Qualifications
    • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
    • At least 3 years of proven experience as a Data Engineer.
    • Expert proficiency in Python, C++, Java, R, and SQL.
    • Familiarity with Hadoop or suitable equivalent.
    • Excellent analytical and problem-solving skills.
    • A knack for independent and group work.
    • Scrupulous approach to duties.
    • Capacity to successfully manage a pipeline of duties with minimal supervision.
    Additional Information

    All your information will be kept confidential according to EEO guidelines.

    Apply