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Data Engineer Data Analyst Jobs in Willowbrook, IL

Ascot Group

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

This position will be responsible for the analysis, development, implementation, testing, and ... The Data Engineer will interface regularly with business partners across Underwriting, Operations ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases Engineer solutions using technologies such as PySpark ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... analytics, and downstream consumption Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms Design and implement data ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... to support analytics and reporting use cases • Engineer solutions using technologies such as ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases * Engineer solutions using technologies such as PySpark ...

Sonoma Consulting Inc.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Help our analysts and engineers build and optimize data pipelines to understand our large and ever-growing user base and make better decisions. * Implement data pipelines to automate the ingestion ...

IterationLinc

Senior Data Analyst

Chicago, IL · On-site

$40 - $55/hr

Senior Data Analyst Location: Chicago, IL 60661, USA HyBrid Model/Remote - Must Live in Chicago ... Create quality technical specifications as required for Data Engineers and BI Developers as ...

MaximaTek

Data Analyst

Chicago, IL · On-site

Data Analyst We are seeking a detail-oriented Data Analyst to turn raw data into actionable ... Partner with product, business, and engineering teams to define key performance indicators (KPIs ...

The Joint Commission

Data Engineer

Oak Brook, IL · On-site

$107 - $143/hr

The engineer collaborates with analytics, BI, and business teams to transform requirements into reliable data assets that support reporting, analytics, and operational needs. Responsibilities Data ...

New

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 5+ years of experience in investment management, financial services, or a data-intensive operations ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into reliable data assets that support reporting, analytics, and operational needs. Responsibilities Data ...

Joint Commission

Data Engineer

Villa Park, IL

$107K - $143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into reliable data assets that support reporting, analytics, and operational needs. Data Engineering ...

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Chicago, IL (some travel to McLean, VA maybe required) Duration: 7+ months Role Overview We are seeking experienced Senior Data Analysts to support advanced data engineering and analytics initiatives.

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Showing results 21-40

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Willowbrook, IL

Data Engineer Data Analyst information

See Willowbrook, IL salary details

$33.6K

$81.7K

$134.5K

How much do data engineer data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer data analyst in Willowbrook, IL is $81,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,900.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Willowbrook, IL?

For Data Engineer Data Analyst jobs in Willowbrook, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Willowbrook, IL look for?

The top searched job categories for Data Engineer Data Analyst jobs in Willowbrook, IL are:

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Cities near Willowbrook, IL with the most Data Engineer Data Analyst job openings:

Data Engineer Data Analyst jobs near you

Data Engineer

Ascot Group

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Key responsibilities

  • Design, develop, and maintain data pipelines, ETL/ELT processes, and data integrations supporting enterprise reporting and analytics.

  • Develop and optimize SQL queries, datasets, and data models to support reporting, analysis, and operational decision-making.

  • Support the testing, deployment, and ongoing maintenance of data and reporting solutions, including issue resolution and enhancements.

Job description


This is an opportunity to join Ascot Group - one of the world's preeminent specialty risk underwriting organizations.
Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we're bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourishes in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.
The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.
Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service - both pre- and post-claims. Ascot exists to solve our clients' brightest tomorrow, through agility, collaboration, resilience, and discipline.
Ascot is embedding artificial intelligence (AI) and automation across the organization to enhance decision making, efficiency, and quality of outcomes. In this role, you will be expected to work confidently alongside AI enabled tools, apply sound judgment when interpreting insights, and adapt as technology continues to evolve. We value curiosity, critical thinking, and a willingness to embrace change as part of how we work.
Position Overview:
The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation, testing, and ongoing support of Ascot's data and analytics assets. The ideal candidate has a foundational understanding of data warehouse design including strong SQL/ETL skills, strong attention to detail, and a desire to continue developing technical and analytical skills in an enterprise data environment. The Data Engineer will interface regularly with business partners across Underwriting, Operations, Finance, Actuarial, and Finance. This role will be in the office with a hybrid work schedule.
Responsibilities:
  • Partner with business stakeholders to understand data, reporting, and analytics requirements and translate them into actionable solutions.
  • Design, develop, and maintain data pipelines, ETL/ELT processes, and data integrations supporting enterprise reporting and analytics.
  • Develop and optimize SQL queries, datasets, and data models to support reporting, analysis, and operational decision-making.
  • Some may build and maintain Power BI reports, dashboards, and semantic models that provide timely and meaningful business insights.
  • Validate, reconcile, and monitor data to ensure accuracy, completeness, and consistency across source systems and reporting outputs.
  • Collaborate with data engineers, business analysts, and subject matter experts to understand business processes, data structures, and reporting needs.
  • Support the testing, deployment, and ongoing maintenance of data and reporting solutions, including issue resolution and enhancements.
  • Participate in project planning, requirements gathering, estimation, and solution design activities for data-centric initiatives.
  • Document business requirements, data transformations, reporting logic, and technical processes in accordance with established standards.
  • Identify opportunities to improve data quality, automate manual processes, and enhance reporting capabilities across the organization.
  • Commitment to The Ascot Way: Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability.

Requirements:
  • A minimum of 3 years of experience in data analytics, business intelligence, reporting, or data engineering-related roles.
  • Strong SQL development and data analysis skills.
  • Experience with Power BI or similar business intelligence tools preferred.
  • Familiarity with data warehouse concepts, ETL/ELT processes, and dimensional modeling.
  • Experience working with enterprise data platforms, cloud data services, or modern analytics environments.
  • Strong analytical, problem-solving, and stakeholder communication skills.
  • Bachelor's degree in information systems, Computer Science, Data Analytics, or a related field (or equivalent experience).
  • Experience working within the insurance industry is highly preferred, including familiarity with insurance operations, policy, claims, underwriting, finance, or regulatory reporting data domains.

***This position may be filled at a different level, depending on experience***
Compensation:
Actual base pay could vary and may be above or below the listed range based on factors including but not limited to experience, subject matter expertise, and skills. The base pay is just one component of Ascot's total compensation package for employees. Other rewards may include annual cash bonus and other forms of discretionary compensation awarded by the Company.
The annualized base pay range for this role is: $110,000 - $125,000
Company Benefits:
The Company provides a competitive benefits package that includes the following (eligibility requirements apply):
  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more.
  • Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver)
  • Retirement Benefits: Contributory Savings Plan (401k)

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