Data Engineer 5 (Chicago, Dallas, Peoria)

Cullerton Group; Chicago (IL); Hybrid; USD 113,652 - 161,868; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401k

Holiday pay

Job summary

A leading data solutions provider has an opportunity for a Data Engineer 5 in Chicago. The role requires 10+ years of experience and focuses on enterprise data architecture and analytics. Responsibilities include maintaining data standards and guiding teams through complex data initiatives. This position offers a hybrid work environment with strong benefits and the potential for permanent employment. Ideal candidates will have expertise in SQL, logical data modeling, and excellent communication skills.

Qualifications

• 10+ years of professional experience in data engineering or data architecture roles.
• Expert knowledge of logical and physical data modeling.
• Strong experience with SQL and modern data platforms.

Responsibilities

• Set and maintain enterprise standards for databases, data integration, and data access.
• Direct developers and analysts to enhance existing data pipelines.
• Provide technical guidance on logical and physical data modeling.

Skills

Logical and physical data modeling

SQL

Data engineering

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

Job description

Cullerton Group has a new opportunity for a Data Engineer 5. The work will be done hybrid, based out of Chicago, Dallas, or Peoria, with the expectation to be onsite 2–3 days per week. This is a 12-month long-term position that can lead to permanent employment with our client. Compensation is up to $100/hr + full benefits (vision, dental, health insurance, 401k, and holiday pay).

Job Summary

Cullerton Group is seeking an experienced Data Engineer to support enterprise-level data architecture, integration, and analytics initiatives. This role focuses on setting and maintaining standards for databases, data pipelines, and data integration practices that enable strategic business outcomes. The engineer will partner closely with data architects, solution leads, developers, and business teams to guide design decisions and ensure scalable, high-quality data solutions. This position is ideal for a senior-level data professional who enjoys technical leadership, mentoring, and complex data problem-solving.

Key Responsibilities

• Set and maintain enterprise standards for databases, data integration, and data access
• Direct developers and analysts in enhancing existing data pipelines, databases, and data processes
• Provide technical guidance on logical and physical data modeling
• Execute investigations and analyses to support data design decisions and insights
• Develop standards, guidelines, and best practices for data engineering solutions
• Collaborate with data architects, solution leads, and application teams across multiple projects

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Programming, or a related field
• 10+ years of professional experience in data engineering or data architecture roles
• Expert knowledge of logical and physical data modeling
• Strong experience with SQL and modern data platforms (e.g., Snowflake or similar)
• Proven ability to work independently and manage complex workloads
• Strong verbal and written communication skills

Preferred Qualifications

• Experience leading or mentoring other data engineers
• Background working with enterprise-scale data environments
• Strong stakeholder collaboration and customer-facing experience

Why This Role?

This position offers the opportunity to influence enterprise data strategy while working alongside experienced architects and engineering teams. You’ll contribute to high-impact data initiatives that support business decision-making and long-term scalability. Cullerton Group provides a professional environment with strong growth potential, exposure to complex systems, and pathways to long-term employment.