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Data Optimization Jobs in Chicago, IL (NOW HIRING)

Data Engineer 2

Chicago, IL

$118K - $141K/yr

Big Data Optimization Project Big Data optimization project to optimize the data flow. Job Responsibilities * Test programs or databases, correct errors and make necessary modifications. * Modify ...

SEO Specialist

Bolingbrook, IL · On-site

$75K - $85K/yr

Own technical SEO health, including site architecture, crawlability, indexation, rendering, and structured data implementation * Conduct keyword and topic-based research to identify opportunities ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Implement and support backend maintenance processes that enforce ongoing data optimization and corporate retention policies while ensuring the historical data needs of the client are met * Document ...

Monitor database environments to ensure optimal performance, quickly troubleshoot issues, and maintain system stability, uptime, and data accuracy. * Establish and maintain database security measures ...

Be Seen First

You'll handle the full picture: technical SEO, on-page optimization, content, and link building, and you'll use data to turn rankings into real growth. This is a great fit for someone analytical and ...

Inspired applications of big data, AI and UI/UX. And creative that persuades and delights. All of ... The Content Optimization Analyst I is responsible for improving Ulta Beauty's discoverability ...

Inspired applications of big data, AI and UI/UX. And creative that persuades and delights. All of ... The Content Optimization Analyst I is responsible for improving Ulta Beauty's discoverability ...

SEO Analyst

Chicago, IL · On-site +1

The ideal candidate should be comfortable analyzing, creating, and presenting SEO strategies based on the data in our reports. The SEO Analyst will be required to present strategic SEO ...

The ideal candidate should be comfortable analyzing, creating, and presenting SEO strategies based on the data in our reports. The SEO Analyst will be required to present strategic SEO ...

Are you eager to grow your career in SEO with a strong focus on technical optimization and data-driven analysis? We're seeking an SEO Specialist to support our team with improving site performance ...

Description Are you eager to grow your career in SEO with a strong focus on technical optimization and data-driven analysis? We're seeking an SEO Specialist to support our team with improving site ...

Are you eager to grow your career in SEO with a strong focus on technical optimization and data-driven analysis? We're seeking an SEO Specialist to support our team with improving site performance ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, developing proficiency in data analysis typically requires ongoing practice, real-world experience, and understanding of statistical concepts, which may extend beyond three months for full competency.

What is a data optimization job?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and decision-making. Professionals in this role often use tools like SQL, Python, or data management software and require strong analytical skills to identify areas for improvement in data systems.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually depending on experience and industry. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, they do not fully replace the need for human judgment, domain expertise, and interpretative skills essential to the role of a data analyst.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Chicago, IL? The most popular types of Data Optimization jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Optimization jobs? Cities near Chicago, IL with the most Data Optimization job openings:
Infographic showing various Data Optimization job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 14% Hybrid, and 29% Remote job distribution.
Data Engineer 2

$118K - $141K/yr

Other

Posted 9 days ago


Job description

Big Data Optimization Project

Big Data optimization project to optimize the data flow.

Job Responsibilities
  • Test programs or databases, correct errors and make necessary modifications.
  • Modify existing databases and database management systems or direct programmers and analysts to make changes.
  • Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions.
Skills
  • Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
  • Basic ability to work independently and manage one’s time.
  • Basic knowledge of logical data modeling and physical data modeling.
  • Basic knowledge of computer software, such as SQL, Visual Basic, Oracle, etc.
Position’s Contributions to Work Group
  • The main function of a data engineer is to ensure that the data assets of an organization are supported by an architecture that supports the organization in achieving its strategic goal.
  • A typical data engineer is responsible for setting enterprise standards for databases, data integration, and the means to get to the data.
  • This position working with a team responsible for managing CVA units reporting process to enterprise and providing insights to business for increasing sales
Typical Day
  • Test Airflow, correct errors and make necessary modifications during our migration from SAS.
  • Maintaining and enhancing database in SAS.
  • Provide support to business partners that have questions about data in CVA’s in relation to numbers coming out of SAS.
  • Working with colleagues in Chicago, Michigan, and Geneva, Switzerland.
  • Will be interacting with business stakeholders to explain logic and impact of changes.
Education
  • Bachelor's degree required- in relevant field.
  • 2+ years work experience required.
Technical Skills Required

(Required)

  • 2+ years exp in SAS
  • 2+ years exp with SQL
  • 2+ years exp in Snowflake

(Desired)

  • Project management exp specifically Agile methodology
  • Apache Airflow exp
Soft Skills Required
  • Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
  • Basic ability to work independently and manage one’s time. Critical thinking skills a must.