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Data Analytics Engineer Jobs in Aurora, IL (NOW HIRING)

Data & Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role Overview The Full Stack Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery ...

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Full Stack Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery ...

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Full Stack Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery ...

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Infrastructure Data Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

As an integral part of the Data team, you will join forces with the Sr. Manager, Data and Analytics (to whom you will also report) and Senior Analytics Engineer in our continued effort to inspire ...

As an integral part of the Data team, you will join forces with the Sr. Manager, Data and Analytics (to whom you will also report) and Senior Analytics Engineer in our continued effort to inspire ...

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $160K/yr

Role Overview Feastables is building a modern CPG brand at scale, where data is critical to how the ... The Senior Analytics Engineer is responsible for building and maintaining the core data workflows ...

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Analytics Engineer

Chicago, IL · On-site

$140K - $160K/yr

Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that ... About the Role As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data ...

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

Analytics Engineer Full time Chicago, Illinois | Atlanta, Georgia | Charleston, South Carolina ... SUMMARY Greystar's DAI organization (Data, Digital, and AI) is responsible for the platforms ...

SUMMARY Greystar's D²AI organization (Data, Digital, and AI) is responsible for the platforms ... As an Analytics Engineer on one of Decision Intelligence's forward-deployed pods, you'll turn that ...

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

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Showing results 1-20

Data Analytics Engineer information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do data analytics engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analytics engineer in Aurora, IL is $128,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are popular job titles related to Data Analytics Engineer jobs in Aurora, IL?

For Data Analytics Engineer jobs in Aurora, IL, the most frequently searched job titles are:

What cities near Aurora, IL are hiring for Data Analytics Engineer jobs?

Cities near Aurora, IL with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Aurora, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

Data & Analytics Engineer

Collectiv

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Role Overview

The Full Stack Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities. This role closes the gap between backend data platform work and front-end analytics, enabling a single consultant to take a client from raw data ingestion through to polished, insight-ready dashboards.

You design and implement modern lakehouse architectures on Microsoft Fabric and Databricks, build performant ELT/ETL pipelines, develop rich semantic models, and deliver complex Power BI reports, all while acting as a trusted technical advisor to enterprise clients. You thrive on translating ambiguous business requirements into scalable, well-documented technical solutions and are equally comfortable deep in Spark transformations or fine-tuning DAX formulas.

This role sits at the intersection of Collectiv's Data Engineering and Senior Power BI Consultant practices and is designed for experienced professionals who refuse to choose a lane.

Key Responsibilities

Data Platform & Lakehouse Engineering

  • Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory) and Databricks (Spark, Delta Lake, SQL Warehouses)
  • Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
  • Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
  • Translate business and analytical requirements into technical data models (star schemas, semantic models, lakehouse patterns)
  • Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads
  • Apply version control, CI/CD concepts, and code review standards to all data engineering workflows

Power BI & Analytics Delivery

  • Design and implement complex data models utilizing Power BI, including enterprise-grade semantic layer development
  • Create visually compelling, interactive reports and dashboards that drive measurable client decisions
  • Develop, optimize, and peer-review DAX formulas for accuracy and performance at scale
  • Integrate data from diverse sources into Power BI, leveraging SQL skills for efficient extraction and transformation
  • Ensure data quality, reliability, and usability across the analytics platform
  • Enable self-service analytics by partnering with client business teams to deliver trusted datasets and dashboards

Client Consulting & Advisory

  • Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
  • Provide expert guidance on Power BI solutions and data platform decisions; ensure precision in all data discussions
  • Conduct in-depth research on emerging tools and trends to keep clients ahead of the curve
  • Act as a core technical asset in Collectiv's marketing and business development efforts
  • Facilitate training sessions and support client teams through platform adoption and change
  • Build strong client relationships through clear communication, confidence with stakeholders, and a warm, personable presence
  • Take a proactive approach to delivery and client relationships by anticipating needs, following through on commitments, and looking for opportunities to add value

Engineering Excellence & Collaboration

  • Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
  • Ensure solutions meet quality criteria related to performance, scalability, security, and maintainability
  • Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv
  • Participate in post-project retrospectives and contribute to Collectiv's data platform standards

Required Qualifications

  • Bachelor's degree from an accredited university
  • 5+ years of combined experience in data engineering, analytics engineering, and/or BI consulting
  • Hands-on production experience with Microsoft Fabric and/or Databricks (both strongly preferred)
  • Advanced proficiency in Power BI, including complex data modeling, DAX authoring, and performance optimization
  • Power BI dataset modeling at enterprise scale and embedding/API scenarios
  • Strong SQL skills, including performance tuning and analytical query design
  • Experience designing analytics data models (star schemas, semantic models, lakehouse patterns)
  • Demonstrated ability to integrate data from diverse sources into both data platforms and BI tools
  • Proven track record in a client-facing consulting role, working independently and managing stakeholder expectations
  • Strong written and verbal communication style; data-filled, precise, and client-ready

Preferred Qualifications

  • Experience migrating or modernizing legacy data warehouses to lakehouse architectures
  • Experience integrating data platforms with downstream applications or external APIs
  • Consulting experience spanning multiple clients, industries, or verticals
  • Relevant certifications: Azure Solutions Architect, Azure Data Engineer, Microsoft Fabric (DP-600/DP-700), Databricks certifications
  • Exposure to advanced analytics use cases: AI/ML model integration, predictive dashboards, or advanced statistical analysis

What Success Looks Like

  • Clients trust you as their go-to technical advisor across both data platform and analytics decisions
  • Delivered solutions are scalable, well-documented, secure, and aligned to best practices
  • Consistently maintain a minimum 75% utilization rate by balancing high-quality client delivery, internal collaboration, and business priorities.
  • Business users are fully enabled through reliable semantic models and analytics-ready datasets
  • Power BI reports you build are cited by clients as transformative to their decision-making process
  • You actively contribute to Collectiv's data platform standards and continuously raise the bar for consulting excellence
  • You serve as a force multiplier; unblocking teammates and elevating the quality of every engagement you touch

Why Collectiv

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in-person team experiences and competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values

Growth Mindset- Bring solutions, not problems.

Excel with Humility- Be humbly brilliant.

Communicate Actively and Empathetically- Listen, ask, understand, help.

Work Hard, Play Hard- Results are proportional to effort.

Keep Calm and Carry On- Stay cool, calm and Collectiv.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. Our mission: We help enterprises make better decisions.

Employment Type: FULL_TIME