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Trainee Data Engineer Jobs (NOW HIRING)

We advise our trainees not to wait till the next class to seek answers to any technical issue ... We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for ...

We advise our trainees not to wait till the next class to seek answers to any technical issue. โ€ข ... on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT ...

$49.50 - $66.50/hr

We are seeking a highly experienced Senior Data Engineer / Data Architect with strong Microsoft ... Provide architectural guidance, best practices, and mentorship (Fabric trainee-level support as ...

Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation ... Trainee) Job End Date 2026-12-31 Master Skill List - Data Engineering Remote Type - Hybrid Work ...

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Trainee Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do trainee data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for trainee 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 a trainee data engineer?

A Trainee Data Engineer is an entry-level role designed for individuals who are beginning their career in data engineering. They work under the supervision of senior data engineers to learn how to design, build, and maintain data pipelines and infrastructure. Responsibilities typically include data extraction, transformation, loading (ETL), and working with databases, cloud platforms, and big data technologies. This role provides hands-on experience with tools like SQL, Python, Apache Spark, and cloud services such as AWS, Azure, or Google Cloud. It's a great opportunity to develop technical skills and gain practical knowledge in data engineering practices.

What are the key skills and qualifications needed to thrive as a trainee data engineer?

To thrive as a Trainee Data Engineer, a solid understanding of programming (such as Python or SQL), data structures, and mathematics is important, often supported by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, cloud platforms (e.g., AWS or Azure), and data visualization software is typically required, with certifications in these technologies considered a plus. Strong analytical thinking, a willingness to learn, and effective collaboration and communication skills are valuable soft skills for this role. These abilities enable trainees to learn quickly, contribute to data projects, and adapt to the evolving needs of data engineering teams.

What kind of career growth can I expect as a trainee data engineer?

As a Trainee Data Engineer, you'll gain foundational skills in data management, pipeline development, and cloud services, which are essential for advancing within the data engineering field. Many organizations provide structured training, mentorship, and opportunities to work on real-world projects, allowing you to gradually take on more complex tasks and responsibilities. With experience and demonstrated expertise, you can move into mid-level or senior Data Engineer roles, specialize in areas like big data or machine learning, or even transition into data architecture or analytics leadership positions. This role sets the stage for a rewarding and dynamic career in data-driven industries.

More about Trainee Data Engineer jobs

What cities are hiring for Trainee Data Engineer jobs?

Cities with the most Trainee Data Engineer job openings:

What are the most commonly searched types of Data Engineer jobs?

The most popular types of Data Engineer jobs are:

What states have the most Trainee Data Engineer jobs?

States with the most job openings for Trainee Data Engineer jobs include:

What are popular job titles related to Trainee Data Engineer jobs?

For Trainee Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Trainee Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Technical Program Manager - Trainee

New Albany, OH โ€ข On-site

$123K - $160K/yr

Full-time

Re-posted 15 days ago


Job description

Technical Program Manager Trainee - Data Center Infrastructure
Trainee Levels: T1 / T2 / T3
Company: Service Global
Employment Type: Full-time, paid W-2 position
Schedule: Normally 40 hours per week
Work Environment: Data center, low-voltage infrastructure, and project coordination environments
Location & Travel: Nationwide deployment may be required. Current active projects include Ohio and Virginia.
Position Structure & Compensation:
This is a paid, full-time W-2 employee position providing structured technical and project management training through supervision, mentorship, and practical project experience.
Candidates will be assessed during the interview process and placed at the T1, T2, or T3 trainee level based on demonstrated qualifications, relevant data center infrastructure experience, project/program management capabilities, technical knowledge, and other job-related criteria.
Compensation will be determined based on assigned trainee level, qualifications, relevant experience, job location, and applicable pay practices.
About the Role:
Service Global delivers data center and technology infrastructure services, including low-voltage cabling, fiber, network deployment, quality management, documentation, and project delivery.
The Technical Program Manager Trainee program develops employees to support and coordinate increasingly complex infrastructure projects. Prior Technical Program Manager experience is not required.
Trainee Levels
T1 - Foundation
Supports project documentation, trackers, schedules, action items, infrastructure walkthroughs, quality records, and issue escalation while developing foundational technical and project coordination skills.
T2 - Intermediate
Coordinates defined workstreams, schedules, risks, vendors, field teams, QA/QC activities, reporting, and project deliverables with increased independence.
T3 - Advanced Trainee
Supports ownership of larger work packages, stakeholder coordination, project meetings, SLA and risk tracking, customer communication, issue resolution, project closeout, and continuous improvement.
T3 remains a trainee classification and does not independently replace the authority of a Project Manager or Technical Program Manager unless formally assigned.
Candidates are not required to apply separately for T1, T2, or T3. Placement will be based on consistent, job-related interview and qualification criteria.
Core Responsibilities
Depending on trainee level, responsibilities may include:

  • Maintain project trackers, schedules, action items, dashboards, issue logs, and documentation.
  • Support cable schedules, labeling records, redlines, test trackers, and turnover packages.
  • Coordinate with Project Managers, Technical Program Managers, field teams, vendors, material teams, and other stakeholders.
  • Track schedule, SLA, risk, quality, testing, punch-list items, rework, and project blockers.
  • Prepare project status reports and support customer-facing communication.
  • Participate in data center walkthroughs and project-site activities.
  • Support project closeout and recommend improvements to reporting, documentation, workflow, and data quality.
Training & Development
Trainees receive:
  • Assigned supervision and mentorship.
  • Structured onboarding into infrastructure standards, safety, project tools, and documentation practices.
  • Practical exposure to data center project delivery.
  • Periodic performance and competency reviews.
  • Increasing responsibility based on demonstrated proficiency and business needs.
Minimum Qualifications
  • Relevant education, technical training, professional experience, or transferable experience related to technology, infrastructure, engineering, data, or project management.
  • Strong organizational, communication, and problem-solving skills.
  • Ability to work with spreadsheets and learn project-management, ticketing, reporting, and documentation tools.
  • Ability to coordinate effectively with multiple stakeholders.
  • Ability to travel nationally and work at assigned project locations where required.
  • Ability to work a full-time schedule.
  • Must be legally authorized to work in the United States by the employment start date.
Relevant academic disciplines may include Information Systems, Information Technology, Computer Science, Engineering, Telecommunications, Project or Construction Management, Data/Systems disciplines, or related fields.
Preferred Qualifications
  • Data center, low-voltage, structured cabling, fiber, copper, or network infrastructure experience.
  • Project coordination or project-management experience.
  • Experience with trackers, schedules, dashboards, issue logs, QA/QC, testing, commissioning, or project closeout.
  • Experience coordinating vendors, technicians, contractors, or cross-functional teams.
  • Relevant technical or project-management certifications.
Physical & Site Requirements:
With or without reasonable accommodation, ability to perform essential site responsibilities, which may include working in active data center or construction environments, extended standing or walking, navigating authorized work areas, following PPE requirements, and occasionally lifting up to approximately 25 pounds.
Equal Employment Opportunity
Service Global is an equal-opportunity employer. Employment decisions are based on qualifications, merit, legitimate business requirements, and lawful job-related considerations.
Qualified applicants are considered without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable law.
Work Authorization:
Applicants must be legally authorized to work in the United States by the employment start date.
Employment eligibility will be verified in accordance with Form I-9, E-Verify requirements, and applicable law. Service Global participates in E-Verify.
Where an employee's work authorization carries employer-specific training, reporting, or documentation requirements, Service Global will address applicable employer responsibilities in accordance with law and company policy.

Mandatory Skills
Data Center Infrastructure/ Project Coordination/Copper Fiber Installation (Data Center), Cable Routing & Identification, Installation Tools Handling, Cabling Standards & Cable Labeling & Dressing