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Part Time Data Engineering Jobs in Hobart, IN (NOW HIRING)

Director, BI

Chicago, IL Β· 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 ...

As a part-time Engineering Co-Op at our Alsip Steel facility, you will gain hands-on experience ... Analyze equipment and maintenance data to identify improvement opportunities * Assist with root ...

Fall 2026 Engineering Co-Op (Part-Time)

Alsip, IL Β· On-site

$17 - $22.25/hr

As a part-time Engineering Co-Op at our Alsip Steel facility, you will gain hands-on experience ... Analyze equipment and maintenance data to identify improvement opportunities * Assist with root ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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

Water Resources Engineering Intern

Chicago, IL Β· On-site

$24.98 - $37.44/hr

Additionally, you will assist in asset management projects, utilize data analytics, and contribute ... Arcadis offers benefits for part-time, as needed positions. These benefits include EAP, 401K, and ...

Water Resources Engineering Intern

Chicago, IL Β· On-site

$24.98 - $37.44/hr

Additionally, you will assist in asset management projects, utilize data analytics, and contribute ... Arcadis offers benefits for part-time, as needed positions. These benefits include EAP, 401K, and ...

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Part Time Data Engineering information

See Hobart, IN salary details

$44K

$128.3K

$175.6K

How much do part time data engineering jobs pay per year?

As of Sep 12, 2026, the average yearly pay for part time data engineering in Hobart, IN is $128,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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.

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.

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 cities near Hobart, IN are hiring for Part Time Data Engineering jobs?

Cities near Hobart, IN with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in Hobart, IN as of August 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $128,299 per year, or $61.7 per hour.

Data Architecture & Engineering Intern

Chicago, IL β€’ On-site

AArete
Business Management ConsultingΒ β€’Β 51 - 200 employees

Part-time, Internship

Posted 4 days ago


Job description

Description
Data Architecture & Engineering Intern
2027 Internship Dates: June 7 - August 13, 2027
AArete is one-of-a-kind when it comes to consulting firm culture
As an Intern at AArete, you'll have the opportunity to directly impact both team and client objectives while fostering your personal growth. We seek organized, motivated individuals excited to join our experienced consulting team and serve clients across healthcare, financial services, retail, and other industries.
AArete Interns work closely with clients to understand critical issues and develop strategies for meaningful change. You'll leverage your analytical skills, entrepreneurial spirit, and commitment to excellence. We're looking for critical thinkers with exceptional communication skills who are eager to dive deep into business challenges, data analytics, and business case development to drive project success.
In this role, you'll demonstrate your analytical abilities and support the successful execution of project goals and deliverables. You'll have the chance to make a significant impact by addressing unique business challenges in both client and internal projects.
Work you'll do
  • As a Data Architecture & Engineering Intern, you will work with our consultants in the field to support client engagements and facilitate the delivery of analytics
  • Work with advanced technologies including Snowflake and its native Cortex AI capabilities, Apache Airflow for pipeline orchestration, and a range of AWS services
  • Participate in R&D projects applying Snowflake Cortex AI and other emerging capabilities to healthcare claims data, connecting your academic coursework to real-world engineering challenges
  • Analyze, synthesize, and interpret complex data sets, finding efficient ways to integrate client data and produce analytical outputs that support client delivery
  • Utilize industry-standard DevOps practices to develop and maintain high-quality, version-controlled data engineering solutions, ensuring smooth deployment to high-availability production environments

What you'll gain
  • Professional and personal growth through a comprehensive internship program designed to develop your skills and career
  • Direct impact on team and client objectives, contributing meaningfully to real-world healthcare projects
  • Hands-on experience with our experienced technology team, working on high-impact engagements for healthcare payer clients
  • Mentorship and guidance from experienced professionals in the field
  • Networking opportunities with professionals and leaders in the consulting industry
  • Competitive compensation and valuable insights to kickstart your engineering career

Requirements
Education & Eligibility
  • Current undergraduate student entering either their third year of a 4-year degree program or in the fourth year of a 5-year program (Spring 2028 Grad)
  • Minimum 3.0 cumulative GPA
  • Must be legally authorized to work in the United States without the need for employer sponsorship
  • Must be able to spend the summer in our downtown Chicago office, in office daily during the dates of June 7 - August 13, 2027

Skills & Abilities
  • Strong interest in pursuing a career in data architecture or engineering
  • Demonstrated passion for continuous learning and staying current with industry trends and technologies
  • Ability to approach problem-solving with logical and analytical thinking
  • Capable of understanding business and project goals to craft and deliver meaningful solutions to our clients
  • Proficient in MS Excel, MS PowerPoint, SQL and Python, with the ability to further develop and apply these skills
  • Works effectively both independently and in group settings
  • Excited to support Analysts, Consultants, Senior Consultants, and Managers in developing creative solutions for clients

Preferred Requirements
  • Degree/Major in Data Engineering, Computer Science, or a related field
  • 3.3 or higher cumulative and major GPA
  • Relevant work experience, including internships, summer positions, or part-time jobs
  • Exposure to LLMs, prompt engineering, or AI-assisted development, and interest in applying them within a governed enterprise data platform.
  • Active involvement in university clubs or organizations related to consulting, business, or leadership, showcasing relevant skills and interests

We put humans at the center of our work
We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.
But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.
And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.
We've earned a Great Place to Work Certificationβ„’ and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.
Learn more about our award-winning culture
AArete, LLC ("AArete") may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources ("AI" or "tools" or "resources") to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.
AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete's use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.
AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:
Recruiting: [email protected]
Privacy: [email protected]
We are an Equal Employment Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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