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Data Engineer Intermediate Jobs in Chicago, IL (NOW HIRING)

Senior Analytics Engineer

Chicago, IL · On-site

$93K - $120K/yr

This role focuses on analytics engineering and data modeling, not traditional pipeline-heavy data ... data models in Snowflake using dbt (staging, intermediate, marts layers) * Define and enforce ...

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

Reference Data Analyst

Chicago, IL · On-site

$116K - $188K/yr

Proficiency with Microsoft Office (particularly Excel and VBA) Intermediate-to-advanced SQL or data ... Programming, Statistics Anticipated Posting End Date: 2026-08-14 Base Pay Range: $116,000/yr - $188 ...

New

Sr. Structural Engineer

Chicago, IL · On-site

$99K - $141K/yr

Utilizes standard engineering practices and techniques to adjust and correlate data; recognizes and ... Intermediate knowledge of MS Office Suite required * Advanced knowledge of building codes and ...

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

Senior Structural Engineer

Chicago, IL · On-site

$103K - $140K/yr

Compensation Data $140,000 - $180, 000 commensurate with experience and education. Bonus Eligible ... Provide day-to-day technical guidance to junior and intermediate engineers, reviewing their work ...

Senior Structural Engineer

Chicago, IL · On-site +1

$103K - $140K/yr

Compensation Data $140,000 - $180, 000 commensurate with experience and education. Bonus Eligible ... Provide day-to-day technical guidance to junior and intermediate engineers, reviewing their work ...

Senior Structural Engineer

Lisle, IL · On-site +1

$99K - $134K/yr

Compensation Data $140,000 - $180, 000 commensurate with experience and education. Bonus Eligible ... Provide day-to-day technical guidance to junior and intermediate engineers, reviewing their work ...

Electrical Engineer

Oak Brook, IL · On-site

$95K - $135K/yr

The projects will span industrial facilities, data centers, hospitals, commercial office buildings ... Intermediate skills in MS Office applications. * High attention to quality and detail. * Strong ...

The projects will span industrial facilities, data centers, hospitals, commercial office buildings ... Intermediate skills in MS Office applications. * High attention to quality and detail. * Strong ...

Showing results 21-40

Data Engineer Intermediate information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data engineer intermediate jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer intermediate in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What are some common challenges data engineer intermediates face when working with large-scale data pipelines?

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What is a data engineer intermediate?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

What are the key skills and qualifications needed to thrive as a data engineer intermediate?

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.
What are the most commonly searched types of Data Engineer jobs in Chicago, IL? The most popular types of Data Engineer jobs in Chicago, IL are:

Senior Analytics Engineer

Avison Young

Chicago, IL • On-site

$93K - $120K/yr

Full-time

Re-posted 28 days ago


Job description

Our Story
About You:
You are a high achiever looking to thrive in a fast-paced environment. You take pride in your own work but are comfortable collaborating with a team of highly motivated individuals. You can communicate clearly and concisely with teammates and clients, and you enjoy strong company culture and camaraderie. You can navigate multiple corporate functions, including global lines of service and corporate centers of excellence. You possess strong interpersonal skills and are willing to take on diverse tasks to achieve the team's common goal. You value personal and professional growth and are ready to take the next step in advancing your career.
If this sounds like you, well, then you will love the culture at Avison Young!
About Us:
Avison Young is a global commercial real estate brokerage and advisory firm, offering transaction, management, financial and consulting services. We've designed our corporate structure to best serve our clients by enhancing collaboration across our organization.
Real estate can have an enormous positive impact on people's lives - and we're in the business of making spaces and places work better for people. Our purpose is to create real economic, social and environmental value as a global real estate advisor, powered by people.
We care about each other and we have each other's backs. This makes Avison Young a great place to be a client, and a great place to work. We support the whole person and their complete wellness - economic, mental and physical - because what's best for our business comes from our people bringing their whole selves to work.
Of course we love it here, but outsiders think we're pretty great too! Avison Young has been recognized as one of Canada's Best Managed Companies for the 13th year in a row, with a Platinum Club designation!
Overview
Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will own and scale our analytics layer in Snowflake using dbt. This is a hands-on leadership role focused on building high-quality, business-aligned data models that power reporting, analytics, and data products across the organization.
You will act as a player-coach, balancing hands-on development with leadership of other engineers, while partnering closely with business stakeholders to define metrics, data models, and semantic consistency across the company. Your work will directly enable better decision-making by ensuring data is not just available, but trusted, well-structured, and meaningful.
This role focuses on analytics engineering and data modeling, not traditional pipeline-heavy data engineering. We are looking for someone who understands the why behind the data, not just the how.
What we value in a business analyst:
  • Customer-focused: You prioritize building data products and models that are intuitive, trusted, and drive real business outcomes.
  • Attention to detail: You ensure data accuracy, consistency, and quality across complex transformations and models.
  • Diverse thoughts: You collaborate effectively, incorporate feedback, and value multiple perspectives in shaping data solutions.
  • Team player & leader: You lead by example-mentoring others, setting standards, and contributing hands-on alongside your team.
  • Pragmatic: You balance speed and quality, making smart trade-offs without compromising long-term maintainability.
  • Data product mindset: You treat datasets as products, with clear ownership, definitions, and accountability.
  • Global teammate: Comfortable working in a collaborative, distributed team environment.

The base salary is aligned with market data and is estimated between $93,000 to $120,000 with the ability to achieve additional compensation through bonus. This salary range reflects base compensation for the position across all US locations. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equity.
Responsibilities
Analytics Engineering & Data Modeling (Core Focus):
  • Design, develop, and maintain scalable, business-aligned data models in Snowflake using dbt (staging, intermediate, marts layers)
  • Define and enforce semantic consistency, including metrics, dimensions, and KPIs across the organization
  • Build and manage dbt projects, including models, tests, documentation, and lineage
  • Design, deploy, and maintain Snowflake Cortex Search and semantic models to provide high-quality, governed data structures for LLM-powered applications and AI initiatives
  • Oversee development operations and deployments of the data platform
  • Translate business requirements into well-structured, reusable data models
  • Implement data quality testing, validation, and documentation to ensure trusted data
  • Optimize query performance and transformation efficiency in Snowflake
  • Establish and enforce data modeling standards, best practices, and design patterns
  • Develop reusable analytics components to accelerate data product development

Data Product & Stakeholder Engagement:
  • Partner with business stakeholders to define metrics, KPIs, and data definitions
  • Ensure alignment between business needs and technical implementations
  • Contribute to the development of data products and semantic layers that support analytics and reporting
  • Drive adoption and usability of data models across analytics and business teams

Leadership & Team Responsibilities (Player-Coach):
  • Lead and mentor a small team of analytics/data engineers
  • Set standards for dbt development, code reviews, testing, and documentation
  • Contribute hands-on to development (~60-70%) while guiding team delivery
  • Drive team productivity, technical direction, and project execution
  • Support Agile processes, including backlog prioritization and sprint planning

Coordination & Delivery:
  • Gather and refine business requirements for data initiatives
  • Translate business needs into clear technical requirements and user stories
  • Support deployment, environment management, and release processes
  • Ensure high-quality delivery through testing, validation, and stakeholder alignment

Qualifications
  • 5+ years of experience in analytics engineering, data engineering, or related roles
  • Strong expertise in SQL and data warehousing concepts
  • Proven experience with dbt and Snowflake (required)
  • Strong experience in dimensional data modeling (star schema, marts, semantic layers)
  • Experience building and maintaining analytics-ready data models and transformations
  • Demonstrated ability to lead projects or mentor team members in a player-coach capacity
  • Experience with data quality, testing frameworks, and documentation practices
  • Familiarity with Airflow / Astronomer or similar orchestration tools
  • Experience working with data pipelines, ETL/ELT processes, and cloud data platforms
  • Strong analytical thinking and ability to connect data solutions to business outcomes
  • Bachelor's degree in Information Technology, Business, or a related field, or equivalent experience

Nice to have:
  • Experience in commercial real estate, geospatial data, or location-based analytics
  • Experience building data products or semantic layers for BI tools

Workplace Type
On-Site
Our Equal Opportunity Commitment
Avison Young practices as an equal opportunity employer in all services locations around the world. We are committed to building and maintaining a workforce diverse in experience, skills and knowledge with uniformity in service excellence, commitment and integrity.
The firm maintains a strict policy to ensure employment opportunities are equal and do not discriminate based on race, color, religion, creed, age, sex, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, protected veteran or military service status, or any other elements protected by law.
Avison Young welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates during the recruitment process. For those requiring assistance, information relating to the need for accommodation and accommodation measures will be addressed confidentially.
Avison Young is committed to employing the best talent with the most fair and equitable recruitment practices. Apply with us TODAY!