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Associate Data Engineering Jobs in Illinois (NOW HIRING)

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60.50K/yr

UL Solutions is a global leader in applied safety science, and they are seeking an Associate Data ... engineering, model selection, hyperparameter tuning, and model evaluation using established ...

New

UL Solutions

Associate Data Scientist

Northbrook, IL

$59.90K - $60.40K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Collaborate with operations, principal engineering, and technology partners to identify AI ...

New

AHEAD

Associate Data Engineer

Chicago, IL · On-site

$80K - $88K/yr

Associate Data Engineer (Internally known as an Associate Technical Consultant) As an Associate Engineer in LAUNCH, you will start out in a 3-month training program within our Digital Solutions Group ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

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 ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

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Associate Data Engineering information

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Illinois? The most popular types of Data Engineering jobs in Illinois are:
Associate Data Engineering jobs near you
Data Engineering / Engineering- Tableau / Alteryx

Data Engineering / Engineering- Tableau / Alteryx

Request Technology, LLC

Chicago, IL • Hybrid

$118K - $141.80K/yr

Other

Posted 15 hours ago

Job description

NO SPONSORSHIP - NO OPT

Senior Associate, Data Engineering Analytics

SALARY: $117k - $120k plus 10% bonus

LOCATION: CHICAGO, IL

HYBRID: 3 days on site

3 years plus experience as a data engineer / software engineer. Looking for a data scientist with financial risk analyst experience, business intelligence analyst, complex analytical experience.

Responsibilities:

    • Design and maintain analytics solutions drawing from both raw and semantic data layers
    • Partner with business units to gather requirements and develop targeted analytics solutions
    • Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development
    • Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence
    • Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility
    • Identify and distribute data and analytics best practices across the team
    • Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability
    • Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools
    • Pursue ongoing professional development in data analytics, cloud computing, options trading, and financial risk management to improve analytics infrastructure
    • Provide guidance to business-embedded data analysts in addressing analytical challenges and support ad-hoc development needs

Qualifications:

Technical Skills:

    • Ability to write and optimize complex analytical (SELECT) SQL queries
    • Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)
    • Strong Experience with data viz/prep tools (preferably Tableau and Alteryx)
    • Experience with a source code version control repository system, branch management, pull requests (preferably Git)

Education and/or Experience:

    • [Required] Bachelor's or Master s degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience
    • [Required] 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst

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