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Data Optimizer Jobs in Illinois (NOW HIRING)

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Performance Optimization: Continuously monitor and optimize data systems for performance, scalability, and cost efficiency. * Client Engagement: Act as a trusted advisor to clients, providing thought ...

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

Performance Optimization: Continuously optimize and fine-tune data processing pipelines and database queries for better performance and scalability. Documentation: Maintain detailed documentation on ...

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Familiarity with production ML practices, including model versioning, performance optimization ...

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Familiarity with production ML practices, including model versioning, performance optimization ...

Data Scientist

Wood Dale, IL · On-site

$115 - $130/hr

- Data Scientist (18483) About Us: AAR Corp. (NYSE: AIR) is a global aerospace and defense ... Familiarity with production ML practices, including model versioning, performance optimization ...

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Familiarity with production ML practices, including model versioning, performance optimization ...

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Familiarity with production ML practices, including model versioning, performance optimization ...

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

What you'll do: • Building, maintaining, and optimizing batch and ELT pipelines that load data into Google BigQuery and Azure SQL Server • Designing, developing, and testing dbt models - from ...

As a Data ScientistorSenior Data Scientist - Federal, you will work with some of the largest ... Strong mathematical background (statistics, linear algebra, calculus, probability, and optimization)

Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns ...

Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns ...

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Proficiency in writing complex queries, stored procedures, and optimizing SQL Server queries. * Familiarity with SQL Server data migration processes, including handling large datasets, managing data ...

Understanding of data structures, algorithms, and distributed computing, both for data and optimization * Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine ...

Understanding of data structures, algorithms, and distributed computing, both for data and optimization * Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine ...

IL EDW Data Modeler

Springfield, IL · Remote

$54.25 - $70.25/hr

Define data standards, relationships, keys, and performance optimization strategies * Support cloud modernization and enterprise analytics initiatives Required Qualifications * 10+ years of IT ...

Showing results 21-40

Data Optimizer information

What is a data optimizer?

Data Optimizers are professionals who analyze, refine, and improve how data is collected, stored, processed, and utilized within an organization. They work to enhance data quality, streamline workflows, and ensure that businesses can make the most effective use of their data assets. By implementing best practices and leveraging technology, Data Optimizers help organizations gain actionable insights, reduce inefficiencies, and support better decision-making. Their role often involves working closely with data engineers, analysts, and business stakeholders to optimize data systems and processes.

How does a data optimizer typically collaborate with data engineers and analysts within a project team?

A Data Optimizer works closely with data engineers to ensure data pipelines are efficient, scalable, and aligned with organizational goals. They often review current data structures, identify inefficiencies, and propose enhancements that streamline data flow and improve performance. Collaboration with analysts is also key, as Data Optimizers help ensure data quality and availability for analytical tasks, often translating business needs into technical improvements. This role requires strong communication skills and the ability to bridge the gap between technical teams and business stakeholders.

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

To thrive as a Data Optimizer, you need strong analytical skills, a solid understanding of data management principles, and experience with data cleaning and transformation, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, Python, data visualization software, and data warehousing systems is common, and certifications in data analytics or database management can be advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure data integrity, facilitate informed decision-making, and drive organizational efficiency through optimized data processes.

What is the difference between Data Optimizer vs Data Analyst?

AspectData OptimizerData Analyst
CredentialsTypically requires certifications in data management, SQL, or data analysis toolsOften holds degrees in statistics, mathematics, or related fields
Work EnvironmentFocuses on data quality, efficiency, and process improvement within data systemsAnalyzes data sets to identify trends and generate reports for decision-making
Employer & Industry UsageUsed in industries emphasizing data infrastructure and optimizationCommon across various industries for business insights and reporting

While both roles work with data, Data Optimizers focus on enhancing data quality and system efficiency, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right skills to each role.

What job categories do people searching Data Optimizer jobs in Illinois look for?

The top searched job categories for Data Optimizer jobs in Illinois are:

Infographic showing various Data Optimizer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 25% Part Time, and 7% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Architect

West Monroe

Chicago, IL • On-site

$65.75 - $84.50/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Job description

Are you ready to make an impact?
As a Data Architect at West Monroe, you will lead the design, implementation, and optimization of data solutions that empower our clients to make data-driven decisions. You will play a critical role in shaping data strategies, mentoring teams, and ensuring the delivery of scalable and efficient data systems. This role requires deep technical expertise, strategic thinking, and strong leadership skills to drive innovation and business impact.
Responsibilities
  • Strategic Leadership: Collaborate with senior leadership and stakeholders to define data strategies and roadmaps aligned with business objectives.
  • Solution Design: Architect robust, scalable, and secure data solutions, including data pipelines, warehouses, lakes, and analytics platforms.
  • Data Governance: Establish and enforce data governance frameworks, ensuring data quality, security, and compliance with industry standards and regulations.
  • Team Leadership: Mentor and guide junior engineers, fostering a culture of continuous learning and innovation. Lead technical teams in delivering high-quality projects on time and within scope.
  • Technology Evaluation: Stay ahead of emerging technologies and trends, evaluating and recommending tools, platforms, and frameworks to enhance data capabilities.
  • Cross-Functional Collaboration: Work closely with business analysts, data scientists, and software engineers to integrate data solutions into broader business applications.
  • Performance Optimization: Continuously monitor and optimize data systems for performance, scalability, and cost efficiency.
  • Client Engagement: Act as a trusted advisor to clients, providing thought leadership and technical expertise in solving complex data challenges.
  • Documentation: Create and maintain technical documentation, including architecture diagrams, data models, and operational procedures.
  • Incident Management: Lead troubleshooting efforts for critical data issues, ensuring timely resolution and root cause analysis.
  • Innovation: Drive innovation by identifying opportunities to leverage AI, machine learning, and advanced analytics in data engineering solutions.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Minimum of 10 years of experience in data engineering or architecture, with at least 3 years in a leadership role.
  • Proven track record of architecting and delivering large-scale data solutions in cloud environments (e.g., AWS, Azure, Google Cloud Platform).
  • Expertise in data modeling, ETL processes, and data pipeline development.
  • Extensive experience with modern data platforms: Databricks and/or Snowflake preferred
    • Experience with data modeling and engineering in Databricks, including Delta Lake and advanced Spark-based transformations.
    • Expertise in data modeling with Snowflake, including schema design, performance optimization, and leveraging Snowflake's unique capabilities (e.g., time travel, zero-copy cloning).
  • Proficiency in programming languages such as Python, SQL, Java, or Scala.
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
  • Hands-on experience with cloud-native data services (e.g., AWS Redshift, Azure Synapse, Google BigQuery).
  • Strong understanding of database technologies (e.g., relational, NoSQL, graph databases).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Exceptional ability to lead and mentor technical teams.
  • Strong communication and interpersonal skills to collaborate with diverse stakeholders.
  • Demonstrated ability to manage competing priorities and deliver results under pressure.
  • Preferred certifications such as Databricks Professional or Azure Data Engineer Associate
  • Advanced analytical skills to solve complex technical and business problems.
  • Ability to translate technical concepts into business value for non-technical stakeholders.
  • Strong organizational and project management skills.
  • Ability to travel to client sites 30 to 50%
  • Hybrid role - 2x per week in office (can align to any WM office in the US)

Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company's 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date.
Seattle or Washington, D.C.
$159,800-$188,000 USD
Los Angeles
$167,400-$196,900 USD
New York City or San Francisco
$175,000-$205,900 USD
A location not listed above
$152,200-$179,000 USD
Other consultancies talk at you.
At West Monroe, we work with you.

We're a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.
The combination of business and technology is not new, but how we bring them together is unique. We're fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.
At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what's next.
You'll feel the difference in how we work. We show up personally. We're right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn't a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.
West Monroeis an Equal Employment Opportunity Employer
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to
Please review our current policy regarding use of generative artificial intelligence during the application process.
If you are based in California, we encourage you to read West Monroe's Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.