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Python Sql Jobs in Chicago, IL (NOW HIRING)

Next Step Systems

Experienced Trader

Chicago, IL · On-site

Chicago IL Jobs, Experienced Trader, Python, C++, Excel, VBA, SQL, Multi-Dimensional Arrays, Nested Loops, Large Data Sets, Programming, Programmer Analyst, Trading, Financial, Chicago Recruiters ...

Paylocity

Implementation Software Engineer

Schaumburg, IL · On-site

$77K - $110K/yr

Our current stack includes Python, SQL, TypeScript, and the Microsoft Power Platform. This is a great fit for someone who's energized by building things end-to-end, thrives in a collaborative ...

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How much do python sql jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python sql in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

What jobs require Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles often involve data manipulation, automation, and database management, and may require familiarity with tools like pandas, SQL databases, and data visualization software.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What is the salary of Python and SQL?

The salary for roles involving Python and SQL varies based on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually for mid-level positions. Skills in data analysis, database management, and programming are highly valued in these roles.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential, but employers often seek additional skills such as data analysis, problem-solving, and familiarity with frameworks or tools like pandas or Django. Certifications and practical experience can also improve job prospects, as many positions require a combination of technical knowledge and real-world application.

What can I do with Python and SQL?

A Python SQL developer can use Python to automate data processing, build data pipelines, and perform data analysis by connecting to databases using libraries like SQLAlchemy or pandas. They can write and optimize SQL queries to extract, transform, and load data, supporting data-driven decision-making and application development. Knowledge of database management systems and scripting skills are essential for these roles.
What are the most commonly searched types of Python Sql jobs in Chicago, IL? The most popular types of Python Sql jobs in Chicago, IL are:
What are popular job titles related to Python Sql jobs in Chicago, IL? For Python Sql jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Python Sql jobs in Chicago, IL look for? The top searched job categories for Python Sql jobs in Chicago, IL are:
Python Sql jobs near you
Infographic showing various Python Sql job openings in Chicago, IL as of July 2026, with employment types broken down into 79% Full Time, 9% Part Time, and 12% Contract. Highlights an 79% In-person, 3% Hybrid, and 18% Remote job distribution, with an average salary of $125,608 per year, or $60.4 per hour.
Sr. Full Stack Python Engineer

Sr. Full Stack Python Engineer

Velocity Search Group Inc.

Chicago, IL • On-site

Other

Re-posted 17 days ago

Job description

Our Client, a leading Asset Management firm located in Chicago, Illinois is seeking a Senior Python Full Stack Engineer to build modern, intuitive web applications and a microservices-based backend that powers Fixed Income investment workflows (trading, portfolio construction, risk and analytics). This is a hands-on, highly collaborative role partnering closely with portfolio managers, quantitative teams and research to deliver scalable, production-ready platforms.
You will design and develop front-end user experiences as well as backend services and APIs, including event-driven components leveraging Kafka. Success in this role requires a builder mindset—someone who can take ambiguous problems from concept to production—paired with strong engineering judgment around service boundaries, API design, testing strategy and operational readiness. You should be comfortable working directly with investment stakeholders and iterating quickly while maintaining high quality.
RESPONSIBILITIES
  • Partner with investment and research stakeholders to clarify requirements, define scope, and translate needs into technical designs and deliverables.
  • Design, build, and maintain interactive web applications (React) used by investment professionals.
  • Build RESTful APIs and microservices (Python/Flask/FastAPI) to support data access, business logic, and workflow orchestration.
  • Implement event-driven patterns using Kafka (producers/consumers, topic design, partitions/consumer groups, error handling/retries, and delivery semantics where applicable).
  • Contribute to data platform work: modeling, pipelines, validation, transformation, and integration with analytics/reporting use cases (e.g., Snowflake + SQL).
  • Own end-to-end delivery: design, development, code review, testing, deployment, and production support.
  • Improve engineering quality and operability through standards for testing, documentation, CI/CD, monitoring, and alerting.
  • Mentor engineers and lead by example in design reviews, pull requests, and production readiness practices.
  • Collaborate with platform/release teams on deployments and operational processes (e.g., containerization and OpenShift).
QUALIFICIATIONS
  • Bachelor''s degree in Computer Science/Engineering (or equivalent practical experience).
  • 7+ years of professional software engineering experience delivering enterprise-grade applications.
  • Strong full-stack experience across:
  • Front end: 2+ years building UIs with React (and modern TypeScript/JavaScript practices).
  • Back end: 4+ years building services in Python (FastAPI/Flask strongly preferred; Pandas/NumPy required)
  • Strong relational data skills:
  • 3+ years hands-on SQL
  • Data modeling and database design; ability to troubleshoot complex data issues
  • Experience with Snowflake
  • 1+ years using Kafka (or similar) in production systems.
  • Strong OOPS Fundamentals.
  • Experience containerizing applications with Docker and deploying to OpenShift (or comparable Kubernetes platforms).
  • Experience using AI coding assistants (e.g., GitHub Copilot, Claude) effectively within secure engineering practices.
  • Strong communication skills and a track record of ownership, delivery, and collaboration with non-technical stakeholders.
NICE TO HAVE
  • Experience in Asset Management / Financial Services, especially supporting Fixed Income users and workflows.
  • Familiarity with Fixed Income instruments (e.g., U.S. Treasuries, IG/HY credit, EM debt, mortgages).
  • OMS/platform exposure (e.g., Aladdin, Perform) and/or credit investment platforms (e.g., Allvue Everest).
  • Experience with observability tooling (metrics/logging/tracing), performance tuning, and resiliency patterns (timeouts, retries, circuit breakers).
Salary Range 130-170k plus bonus.

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