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Part Time Data Engineering Jobs (NOW HIRING)

The Pennsylvania State University

$17/hr

AND POSITION REQUIREMENTS The Population Research Institute is seeking applicants for part-time job of Data Extraction Programming, an upper-level undergraduate computer programmer or other qualified ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

... a part-time Data Analyst to manage the transfer of client data files into our enterprise ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

... a part-time Data Analyst to manage the transfer of client data files into our enterprise ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Remex, Inc

Data Analyst

Skillman, NJ

$18 - $23/hr

... a part-time Data Analyst to manage the transfer of client data files into our enterprise ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Vinik Sports Group

Data Scientist Assistant

Tampa, FL · On-site

$15/hr

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related ...

Vinik Sports Group

Data Scientist Assistant

Tampa, FL

$15/hr

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Honolulu, HI · On-site

$113.10K - $135.80K/yr

You'll guide data engineering activities by overseeing the development and deployment of pipelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113.10K - $135.80K/yr

You'll guide data engineering activities by overseeing the development and deployment of pipelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AEG

Data Scientist Assistant

Tampa, FL · On-site

$15/hr

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Globe Life Inc.

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106.30K - $127.60K/yr

Lead and develop robust data engineering solutions to meet the needs of our organization and ... Ability to work full time and/or part time based on the position specifications. How Globe Life ...

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Part Time Data Engineering information

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$44.5K

$129.7K

$177.5K

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

As of May 30, 2026, the average yearly pay for part time data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

More about Part Time Data Engineering jobs
What cities are hiring for Part Time Data Engineering jobs? Cities with the most Part Time Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Part Time Data Engineering jobs? States with the most job openings for Part Time Data Engineering jobs include:
Part Time Data Engineering jobs near you

Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Campbell's

Richmond, UT

$18.95/hr

Part-time

Medical, Dental, Retirement

Posted 13 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Job Title: Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)
Location: Richmond Ut.
Job Type: Part-Time
Department: Operations / Continuous Improvement / IT
Reports To: Manager of Continuous Improvement


Position Summary
We are seeking a Part-Time Data Analyst Technician with a strong computer science and data analytics background. This role will focus on transforming manufacturing and operational data into actionable insights through Power BI dashboards, Python automation, SQL data management, and DAX-based analytics.

The ideal candidate is highly analytical, comfortable working with manufacturing data, and capable of building automated data pipelines and visualizations that support real-time operational decision-making, productivity tracking, and continuous improvement initiatives.

Key Responsibilities -
Data Analytics & Visualization:
Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics.
Write and optimize DAX measures and calculated columns to support advanced operational analytics.
Transform raw manufacturing data into meaningful visualizations for leadership and production teams.
Build automated reporting solutions to support daily production reviews and Redzone performance tracking.

Data Engineering & Programming:
Write Python scripts to automate data extraction, transformation, and reporting processes.
Design and maintain SQL queries, stored procedures, and database structures for operational data.
Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources.

Manufacturing Systems Implementation :
Support implementation and rollout of the Redzone Manufacturing Execution System (MES).
Assist with data integration, data validation, and dashboard creation tied to Redzone data streams.
Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles.
Support real-time data visibility initiatives on the production floor.

Data Quality & Optimization:
Ensure accuracy and consistency of manufacturing data used for reporting.
Develop tools to validate, clean, and standardize data sources.
Identify opportunities for automation and process improvement through data analytics.

Required Qualifications:
Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience).

Strong experience with Power BI including:
Data modeling
Dashboard creation
Power Query

Strong DAX coding skills.
Proficiency in Python programming for data analysis and automation.
Experience writing complex SQL queries and working with relational databases.
Strong analytical and problem-solving skills.
Ability to translate data into clear operational insights.

Preferred Qualifications

Experience working with Manufacturing Execution Systems (MES) or production data.
Familiarity with Redzone productivity systems.
Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs.
Experience integrating ERP or operational databases with reporting tools.
Knowledge of data pipeline design and automation workflows.

Key Skills:
Power BI Dashboard Development
DAX Analytics
Python Data Automation
SQL Data Management
Manufacturing Data Analysis
Data Visualization & Reporting
Continuous Improvement Analytics

Work Schedule:
Part-Time (10-25 hours per week)
Flexible scheduling available depending on project needs.

Impact of the Role :
This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system.

Pay:
$18.95/hour

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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