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Part Time Data Engineering Jobs in Illinois (NOW HIRING)

Support existing data pipelines on-prem, cloud and business engineering extract * Provide technical ... regular part-time, or temporary employment. Adhere to and ensure compliance of all business ...

Director, BI

Chicago, IL · On-site

$80/hr

Data Engineering * Data Pipelines * Minimum 5 years of experience delivering BI solutions ... Paid Time Off: Full time: Minimum of 80 hours/calendar year. Part time/temporary: Minimum of 1 hour ...

Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting ... Strong knowledge of and experience with reporting packages, databases, programming * Knowledge of ...

Data Security Architect

IL · On-site +1

$112K - $257K/yr

Experience leading security architect, engineering or enterprise data protection initiatives ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Security Engineer

IL · On-site +1

$86K - $198K/yr

Interface with key stakeholders, including agency personnel and internal delivery and engineering ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Security Engineer, Senior

IL · On-site +1

$86K - $198K/yr

Interface with key stakeholders, including agency personnel and internal delivery and engineering ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

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

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

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

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Network Engineering and Security, and Software Engineering. Find out more about SoC at

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Part Time Data Engineering information

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Illinois? The most popular types of Data Engineering jobs in Illinois are:
What cities in Illinois are hiring for Part Time Data Engineering jobs? Cities in Illinois with the most Part Time Data Engineering job openings:
Infographic showing various Part Time Data Engineering job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Data Engineer

Alliant Credit Union

Chicago, IL

$106K - $182K/yr

Full-time, Part-time

Posted 16 days ago


Job description

Provides continuous build-up and operationalization of an enterprise-class modern data environment, which may include various components within the Azure, Hadoop, SQL server, and Informatic stack. Works with technologies encompassed within the cloud and on-prem data management technology stack while also having knowledge and capabilities as a systems developer. Coordinates, designs, builds, and integrates complex application technology solutions, aligned to architectural standards and definitions and ensures IT services are delivered effectively and efficiently.

Essential Responsibilities

  • Development, operation and support of modern data environments such as new concepts, practices, and approaches
  • Design, build, deploy and maintain data pipelines using modern data tools on batch and streaming data in relational and non-relational databases in cloud and on-prem
  • Collaborate with different teams on infrastructure setup, testing, monitoring, tuning/optimizing, troubleshooting and maintenance
  • Collaborate with development and strategy teams on component and software vendor services in the cloud and on-prem, recommendation, installation and management of cloud-native and on prem jobs
  • Collaborate with the data teams in technical investigations, development, and prototypes and corporate IT function around integrating data management ecosystem(s) with critical enterprise systems
  • Develop and manage data management testing activities and create roadmaps for ongoing data management technology and growth
  • Perform capacity monitoring and capacity planning on infrastructure and cloud resources
  • Manage activities through the implementation and maintenance of security and governance components across various data protocols
  • Participate in the design and implementation of a disaster recovery strategy for modern data components and the alignment activities with pertinent audit and compliance activities
  • Provide input and develop new processes and standards in support of the organization's business/functional short-term strategies.
  • Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration
  • Support existing data pipelines on-prem, cloud and business engineering extract
  • Provide technical support to meet application service level agreements

Education & Years of Experience

  • Minimum - 4 Year Bachelors Degree in Computer Science or Related
  • Minimum - 5 Years Data warehouse, data lake, cloud technology or related

In Lieu of Education

  • 8 Years Data warehouse, data lake, cloud technology

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $106,500.00 to $182,600.00‎ 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.