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Full Stack Data Engineer Jobs in Elmhurst, IL (NOW HIRING)

Anagh Technologies Inc

Full Stack Engineer

Chicago, IL · Hybrid

Hello, We have 3 urgent openings for " Full Stack Node Developer ". These are hybrid roles. Location: Chicago, IL (Hybrid) Duration: Long term Contract Onsite Interview Must have skills: React.js ...

Grapefruit Health

Full Stack Engineer

Chicago, IL · On-site +1

$100K - $120K/yr

The Role We are looking for a Full Stack Engineer who thrives on ownership and loves building ... PostgreSQL and data modeling * Infrastructure as Code (Terraform, CloudFormation, or similar) * CI ...

University of Chicago

Full Stack Engineer

Chicago, IL

$80K - $120K/yr

Senior Full Stack Engineer The TMW Center for Early Learning + Public Health (TMW Center) develops ... Architect scalable data models, services, and integrations with third-party APIs. * Contribute to ...

Next Step Systems

Full Stack Developer

Chicago, IL · On-site

Full Stack Developer, Chicago, IL Hiring a Full Stack Developer now! Urgent need! Looking for ... Advanced knowledge of application, data and infrastructure architecture disciplines ...

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... Build and maintain SQL databases (e.g., PostgreSQL, MySQL) for efficient, secure data storage and ...

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... Build and maintain SQL databases (e.g., PostgreSQL, MySQL) for efficient, secure data storage and ...

Energy Talent Search

Full Stack Engineer

Chicago, IL

$180K - $200K/yr

Real-time data ingestion and event streaming * Centralized organization and normalization of data * AI-powered insights, automation, and alerts * Native Excel integration for business users

Addison Group

Full Stack Product Engineer

Chicago, IL · Hybrid

$60/hr

Full Stack Product Engineer Remote/Onsite: Onsite 2-3 days per week in Chicago Pay: $60/hr - 65/hr Required Tech/Experience (Manager won't consider candidates without the following): * React * Node

Addison Group

Full Stack Product Engineer

Chicago, IL · On-site

$60/hr

JS A Full Stack Product Engineer participates within the system design and development efforts by liaising with BA, PM, Development Manager, DBAs and Technical Architects based on Business ...

My3Tech Inc

Full Stack Engineers

Schaumburg, IL · On-site +1

Java, JavaScript, React, WebSphere Commerce Engineer * Need 10+ folks, so a range of Front End, Full Stack and Back End, Full Stack. * If someone is a killer React Engineer - send them along * If ...

Stellar IT Group

Full Stack Cloud Engineer

Chicago, IL · On-site

Full Stack Cloud Engineer Chicago, IL Contract ( 6+ months) Hybrid - onsite 3 days per week (9:00 ... Exposure to data visualization tools . * Familiarity with Snowflake database . Skills: cloud,aws

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Full Stack Data Engineer information

See Elmhurst, IL salary details

$44.3K

$134.2K

$189.7K

How much do full stack data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for full stack data engineer in Elmhurst, IL is $134,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $157,400.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Full Stack Data Engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.
What are popular job titles related to Full Stack Data Engineer jobs in Elmhurst, IL? For Full Stack Data Engineer jobs in Elmhurst, IL, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Elmhurst, IL look for? The top searched job categories for Full Stack Data Engineer jobs in Elmhurst, IL are:
What cities near Elmhurst, IL are hiring for Full Stack Data Engineer jobs? Cities near Elmhurst, IL with the most Full Stack Data Engineer job openings:
Full Stack Data Engineer jobs near you
Senior Full Stack Data Engineer

Senior Full Stack Data Engineer

Archdiocese of Chicago

Chicago, IL • On-site

Full-time

Posted 23 days ago

Archdiocese of Chicago rating

5.9

Company rating: 5.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

13th of 15 rated religious organizations

Job description

Job Summary:
The Archdiocese of Chicago, serving over 2.2 million Catholics, is seeking a Senior Full Stack Data Engineer to lead and scale their data infrastructure. This role involves owning the design of the data platform, managing the full data lifecycle, and mentoring a growing data team while ensuring alignment with organizational goals.
Responsibilities:
• Own end-to-end data pipeline architecture.
• Make infrastructure decisions; evaluate and recommend tooling.
• Define and enforce SLAs, data contracts, and observability standards.
• Solid understanding of database design principles, indexing, and normalization.
• Architect and document the overall data platform, establishing patterns for the team to follow.
• Evaluate emerging tools and technologies, making build-vs-buy recommendations.
• Develop and maintain clean, tested, and documented data models.
• Implement and own data governance, lineage, and quality monitoring.
• Lead collaboration with analysts and business teams to define metrics and semantic layers.
• Define and enforce analytics engineering best practices (dbt conventions, testing standards, CI/CD for data).
• Lead meetings with business stakeholders to understand requirements and translate them into data solutions. Advise stakeholders on feasibility and prioritization.
• Build dashboards and reports using Power BI.
• Conduct exploratory analysis and deliver insights that drive strategic decisions.
• Mentor junior and mid-level data engineers and analysts, providing code review, technical guidance, and career coaching.
• Lead technical design reviews for new data initiatives, ensuring alignment with platform standards.
• Serve as the primary technical point of contact for the data platform — escalation point for complex issues.
• Document architecture decisions and maintain a living data platform blueprint.
• Champion a culture of data quality, documentation, and engineering excellence within the team.
Qualifications:
Required:
• You Must be Catholic and live in the Chicagoland area to be considered for this role.
• 5+ years of experience in data engineering, analytics engineering, or a closely related field.
• Proven track record of designing and delivering production data pipelines at scale.
• Experience mentoring or leading engineers in a formal or informal capacity.
• Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
• Proficiency in Python and/or SQL for data engineering and analytics.
• Experience with modern ELT tools (e.g., dbt, Airbyte, Azure Data Factory, dbt, python, dagster, airflow).
• Hands-on experience with cloud data platforms (Azure preferred).
• Power BI development and data modeling (star schema, semantic layer).
• Understanding of data governance, lineage, and quality frameworks.
• Familiarity with CI/CD practices applied to data (git, automated testing, deployment pipelines).
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.
• Strong prioritization skills — can manage multiple workstreams and guide others in doing the same.
• Collaborative and mission-aligned; comfortable working in a values-driven, faith-based organization.
Company:
Archdiocese of Chicago manages parishes, schools, ministries, and administrative functions for the Archdiocese of Chicago. Founded in 1843, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Archdiocese of Chicago employees say

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About Archdiocese of Chicago

Sourced by ZipRecruiter

The Archdiocese of Chicago is not a company per se, but a large and influential Roman Catholic ecclesiastical jurisdiction in United States. Based in Chicago, Illinois, it was established in 1843 and primarily serves to guide over 2.2 million Catholics in its territory in spiritual and religious matters. Its main function includes pastoral care through parishes and ministries, education via the wide network of Catholic schools, and the promotion of various social service programs. The Archdiocese of Chicago’s mission is to share Christ's love with the community through worship, evangelization, and service.

Industry

Religious organizations

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1843

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