700 Data Modeler And Database Engineer jobs in Chicago,IL

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AVP, Senior Data Engineer

Synchrony Financial

Chicago, IL 60695

Onsite

Bachelor's degree and a minimum of 4 years of experience in Technology in the consumer banking industry OR High School Diploma\ GED and a minimum of 6 years or experience in Technology OR successful completion of Synchrony's Business Leadership Program
Experience with large scale relational database and public cloud (AWS preferred) environments.
Strong experience and deep understanding of ETL, data warehousing, Cloud technologies (AWS) and analytics concepts.
Strong engineering skills in on‑prem RDBMS/data warehouse platforms, Ab Initio (GDE/Co>Operating System), advanced SQL, and AWS, including Amazon Redshift.
Strong cloud engineering skills with AWS, including hands-on experience with Amazon Redshift and related data services.
Experience with batch and real-time data pipelines in a DevOps environment.
Willing to work in a fast-paced environment with globally located Agile teams working in different shifts.
Ability to develop and maintain strong collaborative working relationships with Technology and Business Stakeholders.
Excellent written and oral communication skills. Adept and presenting complex topics executing with timely / actionable follow-through.
Ability and flexibility to travel for business as required
Legal authorization to work in the U.S. is required.

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Inverto | Project Manager, Digital, Data & AI

Boston Consulting Group

Chicago, IL 60629

OnsiteHealth InsurancePaid Time OffRetirement Benefit

5+ years of professional experience in data analytics, AI, or digital consulting, with a strong track record of delivering client-facing projects
Bachelor's degree from an accredited university (Master's preferred) in a relevant field (e.g., Data Science, Engineering, Computer Science, Economics, or similar)
Proven ability to lead client engagements, manage teams, and drive project outcomes in data and analytics contexts
Strong experience working with data analysis, visualization, and transformation tools (e.g., SQL, Power BI, Excel), combined with hands-on expertise in Python for analytics, automation, or AI workflows
Experience with cloud platforms (Azure preferred) and/or modern data ecosystems
Practical exposure to AI and GenAI technologies (e.g., LLMs, APIs, retrieval-based systems, or workflow orchestration tools) and their business applications
Ability to translate complex business problems—particularly in procurement and supply chain—into scalable analytics and AI solutions
Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences
Results-driven mindset with a proactive, ownership-oriented approach
Business-fluent written and spoken English
Willingness to travel based on client and project needs
An entrepreneurial, collaborative mindset with a passion for innovation and team development
Consulting mindset and behaviors: independence, structured thinking, clear communication of insights, and the confidence to influence clients and stakeholders
Results-oriented mindset with a high level of personal accountability
Willingness to travel to work with clients and Inverto teams. At times, this role will require significant travel to client sites. The amount of travel will depend on client needs and nature of projects.

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Data Analyst - BI & Analytics

WORLDPAC

Oak Brook, IL 60523

$110,000/yr

~ 27 min Onsite

Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Information Technology, Business Administration, or a related field.
5 - 7 years of experience as a Data Analyst, BI Analyst, or similar analytics-focused role.
Strong SQL skills with hands-on experience querying cloud data warehouses (Snowflake strongly preferred).
Demonstrated advanced/expert level experience building dashboards and reports using Power BI, including use of semantic models and Microsoft Fabric.
Experience defining and validating KPIs and business metrics.
Solid understanding of descriptive and basic inferential statistics for business analysis.
Advanced Excel for analysis and modeling.
Understanding data governance, metric standardization, and data quality concepts.
Experience working in agile analytics or BI environments using Jira and Confluence, ServiceNow and/or similar tools.
Strong analytical thinking, attention to detail, and problem-solving skills.
Excellent written and verbal communication skills, with the ability to convey insights clearly to non-technical audiences.

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New, Posted 12 hours ago

Technical Product Manager - Principal 1, Digital Products (SAFe)

DIRECTV Careers

Chicago, IL 60629

New, Posted 12 hours ago

Workday Platform Lead

Guidehouse Careers

Chicago, IL 60629

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Process Simulation Twin & Optimization Engineer - Refinery Experience Only

Aramco

Chicago, IL 60290

Onsite

You must hold a Bachelor's degree in Chemical Engineering.
You will have a minimum of 15 years of experience in Process Simulations, Online Modeling, or Real-Time Optimization (preferably ROMeo).
You will be able to Demonstrate expertise in process engineering and flowsheet-based processes simulation.
You will have comprehensive understanding of refinery facilities, feedstock/product movements, margins, giveaways, process yields, and mass and energy balances.
Demonstrated experience connecting simulations to live data sources (Data Historians, OPC, etc.).
Strong understanding of data reconciliation, model tuning, and dealing with gross errors in industrial data is also required.

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Data Scientist

Ulta Beauty

Bolingbrook, IL 60440

$102,900-$130,000/yr

~ 46 min OnsiteHealth InsurancePaid Time Off

2+ years of professional experience in data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment
Advanced degree in a highly quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, etc. Equivalent professional experience will be considered.
In-depth knowledge and experience with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.)
Proficiency in Python and scientific related frameworks (e.g., Scikit-Learn, NumPy, SciPy etc.)
Hands-on experience designing, deploying, and maintaining machine learning pipelines

SmartExplore AI is experimental.

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