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Data Engineer Project Jobs in Lisle, IL (NOW HIRING)

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience in building Data warehouse and Business intelligence projects * Good Experience using ... Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or ...

Fitch Solutions

Principal Data Engineer

Chicago, IL

$118K - $141K/yr

... projects that matter to our organization and clients. We are also proud to be recognized by Built ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

You'll build and optimize our modern data platform, lead a distributed engineering team, and ... Project Delivery * Prioritize analytics projects, balance roadmap demands, and ensure timely ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

You'll build and optimize our modern data platform, lead a distributed engineering team, and ... Project Delivery * Prioritize analytics projects, balance roadmap demands, and ensure timely ...

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 ... Understand the broader objectives of your project or role and how your work fits into the overall ...

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 ... Understand the broader objectives of your project or role and how your work fits into the overall ...

Wight & Company

AI Solutions & Data Engineer

Darien, IL · On-site

$111K - $133K/yr

The AI Solutions & Data Engineer will report to the Chief Innovation Officer and collaborate with ... Design, build, test, and maintain AI agents that support project delivery and business operations.

Wight & Company

AI Solutions & Data Engineer

Darien, IL · On-site

$111K - $133K/yr

The AI Solutions & Data Engineer will report to the Chief Innovation Officer and collaborate with ... Design, build, test, and maintain AI agents that support project delivery and business operations.

Deloitte

Senior Data Engineer

Arlington Heights, IL · Hybrid

$106K - $144K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Deloitte

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Pwc

Data Engineer - Manager

Rosemont, IL · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Take ownership of projects, ensuring their successful planning, budgeting, execution, and ...

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer ... Successful applicants for this position will be working in an agile project management process on a ...

Independence Pet Group

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet ... Proven ability to lead projects, influence stakeholders, and mentor others. Preferred ...

Pwc

Data Engineer - Manager

Chicago, IL · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Take ownership of projects, ensuring their successful planning, budgeting, execution, and ...

Sonoma Consulting Inc.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Big projects or small, Halo Group knows that by combining the highest quality talent with our ... Looking for a Senior Data Engineer to be part of our Engineering Team. As a Senior Data Engineer ...

ULINE

Senior Data Engineer

Glenview, IL

$96K - $148K/yr

Engage with project leads, analysts and business users to implement and test data warehouse applications. * Build complex data engineering processes to support business analytics and reporting.

Virtusa

Data Engineer / Analytics Developer

Chicago, IL · On-site

$118K - $141K/yr

System Integration Execute technical implementation for enterprise SaaS projects. Manage the integration of diverse platforms to ensure seamless data flow and functionality. Visualization Engineering ...

Virtusa

Data Engineer / Analytics Developer

Chicago, IL · On-site

$118K - $141K/yr

System Integration Execute technical implementation for enterprise SaaS projects. Manage the integration of diverse platforms to ensure seamless data flow and functionality. Visualization Engineering ...

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Showing results 21-40

All JobsData Engineer Project JobsData Engineer Project Jobs in Lisle, IL

Data Engineer Project information

See Lisle, IL salary details

$45.4K

$162.7K

$240.1K

How much do data engineer project jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineer project in Lisle, IL is $162,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,600.00 and $167,600.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.
What are popular job titles related to Data Engineer Project jobs in Lisle, IL? For Data Engineer Project jobs in Lisle, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Project jobs in Lisle, IL look for? The top searched job categories for Data Engineer Project jobs in Lisle, IL are:
What cities near Lisle, IL are hiring for Data Engineer Project jobs? Cities near Lisle, IL with the most Data Engineer Project job openings:
Data Engineer Project jobs near you

Sr. Data Engineer

1 point system

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 7 days ago

Job description

Requirement – Sr. Data Engineer

Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote)

Contract W2

PURPOSE:

The Senior Data Engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

POSITION RESPONSIBILITIES:

Work with Product team to determine requirements and propose approaches to address users' needs.

• Analyze requirements to determine approach/proposed solution.

• Design and Build Solutions using relevant programming language.

• Thoroughly test solutions using relevant approaches and tools

• Conduct research into software-related issues and products

• Bring out-of-box thinking and solutions to address challenging issues

• Effectively prioritize and execute tasks in a fast-paced environment

• Work both independently and in a team-oriented, collaborative environment

• Flexible and adaptable to learning and understanding new technologies

• Highly self-motivated and directed

• Demonstrate a commitment to client core values

• Exercise independent judgment in methods and techniques for obtaining results.

• Work in an agile/scrum environment.

EXPERIENCE AND QUALIFICATIONS:

Required Skills - Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners

• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business

• Very good understanding of the full software development life cycle

• Very good understanding of Data warehousing concepts and approaches

• Experience in building Data pipelines and ETL approaches using Informatica IICS, Alteryx or any leading pipeline tool.

• Experience in building high-volume data workflows in a cloud environment

• Experience in building Data warehouse and Business intelligence projects

• Good Experience using Snowflake environment.

• Good Experience using streaming data using Kafka.

• Experience in data cleansing, data validation and data wrangling.

• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

• Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus

• Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot, etc is a plus.

• Experience in one of the scripting languages: Python or Unix Scripting

• Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts and dimensional modeling

• Strong verbal and written communication skills

• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments.

• Resources should be able work along with On-site hours to participate in Req/Design discussions.

EDUCATION:

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field.

5 to 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics.