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

Numerator

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Numerator is seeking a Data Engineer I to play a pivotal role in driving decision-making ... Lead complex, end-to-end projects focused on improving data quality and ensuring statistical models ...

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141.80K/yr

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 ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

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 ...

Deloitte

Sr Databricks Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Required : • Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams • 5+ years of ...

DevSelect

Data Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

Title: Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is ... projects will be required. • Strong general communication and interpersonal skill • Capable of ...

Grainger Businesses

Data Engineer III

Chicago, IL · On-site +1

$112.90K - $188.10K/yr

Bachelor's Degree or equivalent experience required * 3+ years hands-on experience with Modern Data Engineering projects and practices (Airflow, Kafka, Spark, and python) required * Successful track ...

Grainger Businesses

Data Engineer III

Chicago, IL · On-site +1

$112.90K - $188.10K/yr

Bachelor's Degree or equivalent experience required * 3+ years hands-on experience with Modern Data Engineering projects and practices (Airflow, Kafka, Spark, and python) required * Successful track ...

Next Step Systems

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141.60K/yr

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

Rush University Medical Center

Data Engineer

Chicago, IL

$46.07 - $68.64/hr

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects. This position will require working with complex data sources and transforming it into something ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... project experience. Company : Inspire11 is a service, digital, and management consulting firm ...

Apexon

Data engineer

Chicago, IL

$118K - $141.80K/yr

This is a high visibility and crucial project for Goldman Sachs. Responsibilities of the Engineer ... Data Transfer: Executing the physical migration of underlying datasets while ensuring data ...

Frch Nelson

Data Engineer

Chicago, IL · On-site +1

$70K - $100K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... project teams, leadership, and clients. Attributes to support the NELSON Culture: Guiding ...

Optiver

Lead Data Engineer

Chicago, IL

$118K - $141.60K/yr

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of ... Proven ability to lead projects independently and deliver outcomes in fast-paced environments

Pwc

Data Engineer - Senior Manager

Rosemont, IL · On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Engineer - Senior Manager

Chicago, IL · On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Paychex

Data Engineer

Chicago, IL

$99.60K - $156.50K/yr

... future project activities * Deliver automation & efficient processes to ensure high quality ... Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services ...

Optiver

Lead Data Engineer

Chicago, IL · On-site

$200K/yr

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of ... Proven ability to lead projects independently and deliver outcomes in fast-paced environments

LiniumIT

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

The goal of the project is to provide clients access to the data so they can access the data ... Full stack Java developer * Hands on experience in building production applications using Node.js ...

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

Data Engineer Project information

See McCook, IL salary details

$45.5K

$163.2K

$240.8K

How much do data engineer project jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer project in McCook, IL is $163,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,100.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Data Engineer Project jobs in McCook, IL? For Data Engineer Project jobs in McCook, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Project jobs in McCook, IL look for? The top searched job categories for Data Engineer Project jobs in McCook, IL are:
What cities near McCook, IL are hiring for Data Engineer Project jobs? Cities near McCook, IL with the most Data Engineer Project job openings:
Data Engineer Project jobs near you
Data Engineer

Data Engineer

Numerator

Chicago, IL • On-site

$118K - $141.80K/yr

Other

Posted 23 days ago

Job description

Numerator is seeking a Data Engineer I to play a pivotal role in driving decision-making, uncovering new opportunities, and enhancing our rapidly evolving platforms. In this role, you will lead initiatives to automate, enhance, maintain, and scale services in a dynamic, fast-growing environment.

As a Data Engineer I, you’ll be instrumental in delivering data products, analytics, and models efficiently and independently. This cross-functional role involves designing and developing robust data pipelines, building infrastructure to evaluate and deploy data engineering models, and collaborating closely with software engineers.

How You'll Spend Your Time

  • Collaborate with Product, Analytics, Data Science, and Engineering teams to build or enhance data products while ensuring adherence to data quality standards

  • Lead complex, end-to-end projects focused on improving data quality and ensuring statistical models (e.g., sampling, segmentation, classification, predictive modeling) are supported by clean and validated data

  • Design and develop pipelines that enforce data validation, quality checks, and best practices for integrating Data Science models into customer-facing products

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