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Data Engineering Intern Jobs in Schenectady, NY (NOW HIRING)

The Data Research and Collection Intern collects and interprets data for our customers affected by ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

The Data Research and Collection Intern collects and interprets data for our customers affected by ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

PC Build Technician- Intern

NY · On-site

$16 - $20/hr

PC Build Technician Intern - Logistics & Asset Management cb20 is the Capital Region's solution ... customer data. Customer & Team Collaboration * Work closely with cb20 PC Build Engineer and ...

PC Build Technician- Intern

Malta, NY · On-site

$16 - $20/hr

PC Build Technician Intern - Logistics & Asset Management cb20 is the Capital Region's solution ... customer data. Customer & Team Collaboration * Work closely with cb20 PC Build Engineer and ...

PC Build Technician- Intern

Malta, NY · On-site

$16 - $20/hr

PC Build Technician Intern - Logistics & Asset Management cb20 is the Capital Region's solution ... customer data. Customer & Team Collaboration * Work closely with cb20 PC Build Engineer and ...

DoD Skillbridge Intern

Albany, NY · On-site

$15 - $19.75/hr

Project Engineer * Superintendent * Mechanical, Electrical and Plumbing (MEP) Coordinator ... Gilbane does not have salary data for the posting. Gilbane offers an excellent total compensation ...

Showing results 21-40

Data Engineering Intern information

See Schenectady, NY salary details

$10

$18

$28

How much do data engineering intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data engineering intern in Schenectady, NY is $18.69, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.24 per hour, depending on experience, location, and employer.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What are the key skills and qualifications needed to thrive as a data engineering intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.

What is the difference between Data Engineering Intern vs Data Analyst Intern?

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the most commonly searched types of Data Engineering jobs in Schenectady, NY?

The most popular types of Data Engineering jobs in Schenectady, NY are:

What cities near Schenectady, NY are hiring for Data Engineering Intern jobs?

Cities near Schenectady, NY with the most Data Engineering Intern job openings:

Infographic showing various Data Engineering Intern job openings in Schenectady, NY 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, with an average salary of $38,870 per year, or $18.7 per hour.

College Intern - AI Engineering - Fall 2026 (Multiple Openings)

Lthc

Albany, NY

$21 - $23/hr

Part-time

Medical, Dental, Retirement

Posted 13 days ago


Job description

Job Description:

Fall 2026 Internship

The Fall College Internship Program is a paid co-op/internship experience that provides undergraduate and graduate students the opportunity to attend development workshops, network, and be part of our company. Our college interns work on meaningful projects, are mentored under their respective managers, and continue to develop throughout the entire fall. In addition, through the internship program, our interns can attend development workshops that are focused on key business concept. Interns may work within the skills-based tracks of Information Technology, Business Administration, Actuarial, Human Resources, Analytics & Data, Communications, Finance, Marketing & Sales, Project Management, Clinical Studies, Customer Experience, Digital Operations, and other non-technical and/or technical based degree programs.

  • This is a paid internship/co-op.

  • May reside in either a technical or non-technical area.

  • Housing is not provided as part of our internships/co-ops.

Essential Accountabilities:

  • Specific duties will vary with assignment; specific divisional callouts are listed below.

  • Interns will explore scaling current existing models to better identify and stratify complex chronic conditions and Hierarchical Condition Categories (HCCs), enabling proactive and data-driven population health features

  • Extract and leverage clinical data

  • Interns will enhance and optimize traditional NLP and ML solutions with robust AI to significantly boost predictive accuracy and ensure robust coding compliance to CMS

  • Works with a mentor and supports key strategic projects.

  • Responsible for work assignments and possible responsibilities that vary according to business need and departmental opportunities, in addition to student's qualifications.

  • Functions performed are non-technical and/or technical in nature and will cover a broad range of business-related projects.

  • Creates and delivers presentation at completion of internship.

  • Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.

  • Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.

  • Regular and reliable attendance is expected and required.

  • Performs other functions as assigned by management.

Minimum Qualifications:

  • Desired majors include Data Science, AI Engineering, Statistics, Mathematics, Software Engineering, Computer Science or similar degree program.

  • Preferred skills or experience with: Programming, Statistics, Advanced Modeling, Natural Language Processing (NLP), Deep Learning, Agentic AI, and/or LLM

  • High School diploma along with proof of continuous college enrollment (enrolled in a full-time undergraduate or graduate degree program).

  • Must be in good academic standing.

  • Excellent communication skills both verbal and written with the ability to communicate to technical and non-technical audiences and interface with staff at all levels of the company.

  • Ability to work in a fast-paced changing environment and deliver high-quality work product.

  • Ability to work well in a team establishing good working relationships with peers.

  • Ability to multitask and prioritize tasks with a strong attention to detail.

  • Experience using a desktop computer in a professional environment.

  • Experience with Microsoft Office Suite.

  • Demonstrates strong organizational and prioritization skills.

  • Strong analytical and problem-solving skills.

  • Proactive approach to work, displaying creativity and flexibility in completing assigned tasks.

  • Commitment to continuous improvement of skills and team functioning.

  • Must be self-motivated and able to work independently, as well as on intra- and inter- departmental teams where needed.

Physical Requirements:

  • Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time.

  • Ability to travel across the Health Plan service region for meetings and/or trainings as needed.

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In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s):

Level I - Minimum $18.00 - Maximum $20.00

Levell II - Minimum $21.00 - Maximum $23.00

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the CDPHP Talent Acquisition team. This decision is made on a case-by-case basis.

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.