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Full Stack Data Scientist Jobs in Chicago, IL (NOW HIRING)

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

Write, debug, and optimize SQL queries for data access, reporting, and application support * Read ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

Write, debug, and optimize SQL queries for data access, reporting, and application support * Read ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

Full Stack Developer, Chicago, IL Hiring a Full Stack Developer now! Urgent need! Looking for ... Computer science or equivalent experience. - Advanced knowledge of application, data and ...

We use technology and big data to solve real world financial puzzles. Our competitive advantage is ... Strong problem-solving skills and a solution-oriented mindset. * BS in Computer Science, Computer ...

... data. • Collaborate closely with traders, quant researchers, and algo developers to understand ... in computer science, mathematics, or a related field • Strong proficiency in JavaScript ...

Full Stack Java Developer

Chicago, IL · On-site

$54 - $69.75/hr

Full Stack Java Developer, Chicago, IL We are hiring a Full Stack Java Developer now! Urgent need ... Computer science or equivalent experience. - Advanced knowledge of application, data and ...

Senior Data Scientist

Chicago, IL · Remote

$100 - $115/hr

TEKsystems is seeking a Data Scientist for one of our large clients based in Chicago. THIS IS 100 ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

New

Full Stack Developer

Chicago, IL · Remote

$35 - $65/hr

... efficient data storage, retrieval, and integration. * System Integration: Collaborate with ... Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent work ...

We use technology and big data to solve real world financial puzzles. Our competitive advantage is ... Strong problem-solving skills and a solution-oriented mindset. * BS in Computer Science, Computer ...

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 ... care data standards, and regulatory requirements. About YOU! * B.S. in Computer Science ...

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Showing results 1-20

Full Stack Data Scientist information

See Chicago, IL salary details

$47.4K

$170.1K

$251K

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

As of Jul 29, 2026, the average yearly pay for full stack data scientist in Chicago, IL is $170,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,600.00 and $175,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Full Stack Data Scientist position, and why are they important?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What is a Full Stack Data Scientist job?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do Full Stack Data Scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

What are the most commonly searched types of Full Stack Data Scientist jobs in Chicago, IL? The most popular types of Full Stack Data Scientist jobs in Chicago, IL are:
What are popular job titles related to Full Stack Data Scientist jobs in Chicago, IL? For Full Stack Data Scientist jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Scientist jobs in Chicago, IL look for? The top searched job categories for Full Stack Data Scientist jobs in Chicago, IL are:
Infographic showing various Full Stack Data Scientist job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $170,127 per year, or $81.8 per hour.

Senior Full Stack Data Engineer

Archdiocese of Chicago

Chicago, IL • On-site

$85K - $108K/yr

Full-time

Re-posted 7 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

15th of 18 rated religious organizations


Job description

The Archdiocese of Chicago, the third largest in the United States, serves more than 2.2 million Catholics in 216 parishes in Cook County and Lake County, a geographic area of 1,411 square miles. The Archdiocese, pastored by Cardinal Blase J. Cupich, has more than 13,000 employees in its systems and ministries, including Catholic Charities, the region's largest nonprofit social service agency. The Archdiocese also has one of the country's largest seminaries. The Archdiocese's 150+ elementary and secondary schools comprise one of the largest U.S. private school systems. Its schools have received 96 U.S. Department of Education Blue Ribbon Awards.
Position Summary:
We are looking for a versatile, impact-driven Senior Full Stack Data Engineer to lead and scale our data infrastructure. You will own the design and evolution of our data platform - extracting data from source systems, transforming raw data into clean, reliable datasets, and delivering actionable insights to business stakeholders. This role blends deep technical expertise in data engineering with the analytical rigor of data analytics, the discipline of analytics engineering, and the leadership skills to guide a growing data team.
You will be responsible for the full data lifecycle - from ingestion and transformation to modeling and visualization - while also setting technical standards, mentoring team members, and partnering closely with leadership to align data strategy with organizational goals.
You Must be Catholic and live in the Chicagoland area to be considered for this role.
Data Engineering
  • 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.

Analytics Engineering
  • 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).

Data Analytics
  • 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.

Technical Leadership & Mentoring
  • 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.

Requirements
Experience & Education
  • 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.

Technical Skills
  • 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).

Leadership & Soft Skills
  • 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.

The Archdiocese of Chicago offers a comprehensive total rewards package to include competitive compensation and benefit programs. Information about our benefit programs is available here.
This position has a salary range of $85,207.64 - $108,639.74. An employee's pay within the salary range will be based on many factors including but not limited to relevant education, qualifications, experience, skills, geographic location, and organizational needs.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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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