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Part Time Streaming Data Engineer Jobs (NOW HIRING)

DataOps Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

... tools, SQL and NoSQL data stores, event streaming platforms, and CI/CD automation to design ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer (Contract-to-Hire, Part-Time)

Chicago, IL · On-site

$118K - $141.60K/yr

Zeno Group is hiring a data engineer to join our team on a part-time, contract-to-hire basis (approximately 20 hours per week). This role reports into Zeno's AI & Innovation practice and works ...

Data Engineer (Contract-to-Hire, Part-Time)

Chicago, IL · On-site

$118K - $141.60K/yr

Zeno Group is hiring a data engineer to join our team on a part-time, contract-to-hire basis (approximately 20 hours per week). This role reports into Zeno's AI & Innovation practice and works ...

Data Engineer (Contract-to-Hire, Part-Time)

New York, NY · On-site

$125.30K - $150.40K/yr

Zeno Group is hiring a data engineer to join our team on a part-time, contract-to-hire basis (approximately 20 hours per week). This role reports into Zeno's AI & Innovation practice and works ...

Data Engineer / Database Engineer

Purcellville, VA · Remote

$118.60K - $142.40K/yr

S. Time Zones ONLYCommitment: Part-Time / Independent Contractor (1099)Position Type: Hourly/Contractor Direct (No Agencies)The Data Engineer is responsible for creating and maintaining the ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience with distributed systems, streaming data such as Kafka, or integrating AI services into ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

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How much do part time streaming data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for part time streaming data engineer 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 is the difference between Part Time Streaming Data Engineer vs Part Time Data Analyst?

AspectPart Time Streaming Data EngineerPart Time Data Analyst
Required SkillsReal-time data processing, SQL, Python, Kafka, SparkData visualization, SQL, Excel, statistical analysis
Work EnvironmentTech teams, data engineering projects, cloud platformsBusiness units, reporting, data interpretation
Common CertificationsCloud certifications, Apache Kafka, Spark certificationsNone specific, often data analysis or business intelligence certifications

Part Time Streaming Data Engineers focus on building and maintaining real-time data pipelines using tools like Kafka and Spark, primarily working in technical environments. In contrast, Part Time Data Analysts interpret data, create reports, and support decision-making. Both roles require strong SQL skills but differ in technical complexity and daily tasks.

More about Part Time Streaming Data Engineer jobs
What cities are hiring for Part Time Streaming Data Engineer jobs? Cities with the most Part Time Streaming Data Engineer job openings:
What are the most commonly searched types of Streaming Data Engineer jobs? The most popular types of Streaming Data Engineer jobs are:
What states have the most Part Time Streaming Data Engineer jobs? States with the most job openings for Part Time Streaming Data Engineer jobs include:
What job categories do people searching Part Time Streaming Data Engineer jobs look for? The top searched job categories for Part Time Streaming Data Engineer jobs are:
Infographic showing various Part Time Streaming Data Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 56% Full Time, 40% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Scientist Intern - Bachelors/Masters

Data Scientist Intern - Bachelors/Masters

Hewlett Packard Enterprise

Aguadilla, PR

Part-time

Posted 9 days ago


Hewlett Packard Enterprise rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

30th of 137 rated electronics manufacturers


Job description

Data Scientist Intern - Bachelors/MastersThis role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

Job Family Definition:

Students pursuing a Master's degree in Computer Science, Data Science. Assists in various tasks aligned with their field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills. Includes internships, research roles, visiting scholar positions, or other program-related opportunities.

We are seeking enthusiastic interns pursuing advanced degrees to join our team working on cutting-edge enterprise Wi-Fi technology and autonomous platforms. In this role, you will contribute to data science research and software development aimed at delivering deep insights into user experience through big data and predictive modeling. You will collaborate with engineers and product managers to help build the next generation of autonomous Wi-Fi networks that process massive streaming data in real time to detect anomalies, predict issues, and improve network reliability.

Key Responsibilities:

  • Apply your analytical and programming skills using open-source technologies such as Apache Storm, Apache Spark, Elasticsearch, and Redis.

  • Design and implement scalable machine learning algorithms to process terabytes of streaming data.

  • Organize and analyze raw data while building and maintaining robust data systems and processing pipelines.

  • Support troubleshooting efforts in production environments and assist in resolving customer issues.

  • Leverage network data to enhance the Mist platform's inference engine and AI capabilities, including the virtual assistant chatbot.

  • Assist in determining failure probabilities across the Wi-Fi network and conduct failure scope analyses.

Education Requirements:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science.

Knowledge & Skills:

  • Proficient in Java and Python programming languages.

  • Solid understanding of big data tools and techniques, including distributed storage and computation engines.

  • Experience developing reusable, scalable data processing components.

  • Familiarity with cloud-based CI/CD tools and collaboration with DevOps teams to monitor data pipelines.

  • Understanding of multi-cloud production environments.

  • Ability to troubleshoot open-source data processing engines such as Apache Spark and Apache Storm.

Preferred Qualifications:

  • Basic knowledge of networking concepts is highly advantageous.

Impact/Scope:

  • University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico#interns

Job:

Engineering

Job Level:

N/A

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.


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