ZipRecruiter

Log In

1

Temporary Python Sql Jobs in Chicago, IL (NOW HIRING)

Alliant

Senior Credit Risk Analyst

Chicago, IL · On-site

$84K - $131K/yr

... Microsoft SQL Server Management Studio to extract, summarize, and save relevant data. * Drive ... Python/R/SAS. * Evaluate, implement, and monitor third-party scoring solutions. * Prepare ...

Crossway

Software Developer

Wheaton, IL · On-site

$60K - $80K/yr

Python, JavaScript, Ruby, or Perl. * Experience in front-end or back-end development for UNIX or ... Familiarity with SQL for data manipulation and retrieval. * Knowledge of database management and ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... in SQL and at least one programming language (e.g., Python, R). • Familiarity with data ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Paul Hastings

Senior Integration Engineer

Chicago, IL · On-site

$190K/yr

C. Regular/Temporary Regular Summary We have an opening for a Senior Integration Engineer. The ... Experience with SQL, relational databases, and data platforms; * Familiarity with scripting or low ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... in SQL and at least one programming language (e.g., Python, R). • Familiarity with data ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

next page

Showing results 1-20

All JobsPython Sql JobsTemporary Python Sql JobsTemporary Python Sql Jobs in Chicago, IL

Temporary Python Sql information

See Chicago, IL salary details

$13

$60

$88

How much do temporary python sql jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for temporary 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 is the difference between Temporary Python Sql vs Data Analyst?

AspectTemporary Python SqlData Analyst
Required CredentialsPython, SQL, basic data skillsStatistics, Excel, SQL, Python (optional)
Work EnvironmentProject-based, short-term roles, tech-focusedOffice or remote, ongoing analysis tasks
Employer & Industry UsageTech companies, startups, consultingFinance, marketing, healthcare, corporate
Search & Comparison IntentTemporary Python Sql vs Data Analyst

Temporary Python Sql roles focus on short-term projects requiring Python and SQL skills for data manipulation and analysis. Data Analysts often have similar skills but typically work in ongoing roles with broader responsibilities. Both roles are common in tech and corporate environments, but the temporary positions are more project-specific, while Data Analysts may have more stable, long-term employment.

What are Temporary Python SQL jobs?

Temporary Python SQL jobs are short-term positions that require proficiency in both the Python programming language and SQL (Structured Query Language). These roles often involve data analysis, database management, or application development, where employers need extra support for a specific project or busy period. Temporary workers may help write scripts to automate data tasks, query databases, or support data-driven decision-making. These jobs are ideal for people looking for flexible work or to gain experience in tech environments. They can last from a few weeks to several months, depending on the employer's needs.

What are the typical responsibilities and expectations for someone in a Temporary Python SQL role?

In a Temporary Python SQL role, you can expect to work on short-term projects that involve developing scripts and tools using Python, as well as writing and optimizing SQL queries for data extraction, transformation, and analysis. You will often collaborate closely with data analysts, engineers, or business teams to meet specific project goals within tight deadlines. Adaptability and quick learning are important, as you may need to familiarize yourself with new databases or codebases rapidly. This role often provides valuable exposure to real-world datasets and can be a great opportunity to build hands-on experience in both programming and database management.

What are the key skills and qualifications needed to thrive as a Temporary Python SQL Developer, and why are they important?

To excel as a Temporary Python SQL Developer, you need strong programming skills in Python and SQL, often backed by a degree in computer science or relevant experience. Familiarity with databases like MySQL or PostgreSQL, version control systems (e.g., Git), and sometimes data analytics or ETL tools is typically required. Problem-solving ability, attention to detail, and adaptability are crucial soft skills for managing short-term projects and collaborating with teams. These competencies ensure you can deliver effective, efficient solutions within tight timelines and dynamic environments.
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 Temporary Python Sql jobs in Chicago, IL? For Temporary Python Sql jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Python Sql jobs in Chicago, IL look for? The top searched job categories for Temporary Python Sql jobs in Chicago, IL are:
Temporary Python Sql jobs near you
Senior Credit Risk Analyst

Senior Credit Risk Analyst

Alliant Credit Union

Chicago, IL • Hybrid

$84K - $131K/yr

Full-time, Part-time

Re-posted yesterday

Job description

In this hybrid role based at our Chicago Headquarters, you will develop and review credit policies and strategies as well as data and analytical frameworks for loan origination and loss forecasting. Review relevant data to identify the quantitative and qualitative factors driving the credit risk for consumer & mortgage loans. Perform evaluation, implementation and monitoring of third-party and in-house scoring solutions. Perform model and strategy testing and assist with audit/regulatory requests. Work cross-functionally with other teams such as Advanced Analytics, Lending, Loan Servicing, Marketing, Finance, and Data Service teams, preparing underwriting and account management presentations to management for review and implementation.

Essential Responsibilities

  • Analyze origination risk factors and recommend/implement improvements in areas such as underwriting criteria, lending policies and standards, and loan product pricing to increase loan volumes within the risk appetite.
  • Review and monitor credit risk for credit cards, and recommend/implement line management, pricing and authorization strategies.
  • Prepare data for third-party quarterly mortgage & consumer loan portfolio performance analysis.
  • Provide support and rule recommendations for loan origination system implementation and maintenance.
  • Provide data and analytics support to assess risk with respect to future new and enhanced lending products as well as potential loan trading transactions.
  • Assess analytics including but not limited to economic capital analysis, credit loss modeling and mitigation, CECL implementation.
  • Query the data warehouse and other databases with tools such as SAP Business Objects / Microsoft SQL Server Management Studio to extract, summarize, and save relevant data.
  • Drive improvements by utilizing statistical techniques in test set-up to more accurately assess effectiveness of proposed risk strategies.
  • Work with other teams such as Advanced Analytics to design and build predictive models in tools such as Python/R/SAS.
  • Evaluate, implement, and monitor third-party scoring solutions.
  • Prepare supporting information and present findings to management.
  • Generate periodic reports for audit and regulatory compliance and assist with ad hoc requests.
  • Help formulate and revise credit policies and procedures to address new regulations.

Education & Years of Experience

  • Minimum- 4 Year Bachelors Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
  • Preferred - Graduate Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
  • Minimum - 3 Years Experience in credit risk analytics within financial services

In Lieu of Education

  • 5 Years Experience in credit risk analytics within financial services

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $84,200.00 to $131,000.00‎ Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

‎Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.