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Data Engineer Pmp Jobs (NOW HIRING)

Google Cloud Professional Data Engineer certification* PMP Certification* SAFe Agilist Certification* Scrum Master Agile certifications* Experience establishing Data Ops best practices and delivery ...

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Healthcare Data Project Manager

Austin, TX · On-site

$51.25 - $69.25/hr

... PMP) certification is required and should be noted on the resume. Proof of certification may be requested. This role supports a Technical Project Manager for a data engineering project with an AI ...

Senior Project Engineer

Berlin, CT · On-site

$98K - $127K/yr

Aerospace domain experience is required. • Proven ability to organize and manage technical data ... PMP Certification Preferred Primary Responsibilities • Organize, track, and maintain technical ...

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Data Engineer Pmp information

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$46K

$165K

$243.5K

How much do data engineer pmp jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer pmp in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data engineer PMP?

Data Engineer PMPs are professionals who specialize in designing, building, and maintaining data infrastructure, pipelines, and systems, while also holding a Project Management Professional (PMP) certification. This unique combination means they have both technical expertise in data engineering and proven skills in managing complex projects. Their role often involves overseeing data projects from conception through execution, ensuring they are delivered on time and meet organizational goals. Data Engineer PMPs are valuable in organizations that require both advanced data solutions and strong project leadership.

How does a data engineer PMP typically collaborate with project managers and other technical teams during large-scale data projects?

A Data Engineer with PMP certification often acts as a bridge between technical data teams and project management stakeholders. They are responsible for translating business requirements into technical solutions, ensuring that data pipelines and architectures align with project goals and timelines. Collaboration involves frequent meetings with project managers to provide updates, manage risks, and adjust delivery plans, as well as working closely with data analysts, data scientists, and IT teams to ensure data quality and system integration. This dual expertise allows them to manage resources effectively and contribute to successful project delivery within scope and budget.

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

To thrive as a Data Engineer PMP, you need strong skills in data modeling, ETL processes, database management, and project management methodologies, typically supported by a relevant degree and PMP certification. Proficiency with tools such as SQL, Python, Hadoop, Spark, and project management platforms like Jira or MS Project is essential. Outstanding communication, problem-solving, and leadership abilities help coordinate technical teams and stakeholders effectively. These combined skills ensure efficient delivery of data projects, alignment with business goals, and high-quality data infrastructure.

What is the difference between Data Engineer Pmp vs Data Analyst?

AspectData Engineer PmpData Analyst
CertificationsPMP, data engineering certificationsData analysis certifications, like Microsoft or Tableau certifications
Work EnvironmentDesigning data pipelines, managing databases, working with big data toolsInterpreting data, creating reports, visualizations
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, business intelligence, finance, where data insights drive decisions

The main difference between a Data Engineer Pmp and a Data Analyst lies in their focus: Data Engineers Pmp build and maintain data infrastructure, while Data Analysts interpret data to provide insights. Certifications and work environments also differ, with Data Engineers Pmp often holding PMP and technical certifications, working on data pipelines, whereas Data Analysts focus on data visualization and reporting.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics and machine learning initiatives. Organizations across industries seek professionals skilled in tools like SQL, Python, and cloud platforms to handle complex data infrastructure projects.

Can a data engineer become a product manager?

A data engineer can transition to a product manager role by developing skills in product strategy, user experience, and stakeholder communication. Experience with data analysis, technical understanding, and certifications like PMP can support this career shift, but it often requires gaining knowledge in product lifecycle management and customer needs.
More about Data Engineer Pmp jobs

What cities are hiring for Data Engineer Pmp jobs?

Cities with the most Data Engineer Pmp job openings:

What states have the most Data Engineer Pmp jobs?

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

Infographic showing various Data Engineer Pmp job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

GCP Data & Analytics Platform

Capgemini

Charlotte, NC • On-site

$103 - $129/hr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 224 rated it services


Job description

# GCP Data & Analytics PlatformColumbiaApply for this job* Permanent* Experienced Professionals* Data & AI* ID 528765-en\_US## Job Location - Charlotte NC (Day One Onsite - Hybrid)## Key Responsibilities* 8 years of Technology Delivery Program Management Technical Project Leadership experience* 5 years delivering cloud based Data Analytics solutions* Hands on Google Cloud Platform GCP experience* Proven experience leading end to end delivery of largescale data platform initiatives* Strong experience managing multiple concurrent projects across data ingestion transformation storage analytics and reporting* Experience coordinating cross functional teams including Engineering Architecture Security Infrastructure Data Governance and Business stakeholders## Strong Understanding Of* Agile methodologies* Software Development Lifecycle SDLC* DevOps practices* Data Ops practices## Proven Ability To Manage* Project plans roadmaps milestones and release schedules* Budget scope resource utilization and delivery metrics* Risks issues blockers and dependency management* Experience facilitating Agile ceremonies sprint planning backlog management and release management* Ability to lead technical discussions with architects engineers and business stakeholders* Strong stakeholder management communication presentation and executive reporting skills* Bachelors degree in Computer Science Information Systems Engineering or related field## Secondary Skillsets* Experience delivering enterprise data platforms* Experience with Data Lake architectures* Experience with Data Mesh architectures* Knowledge of modern Data Engineering frameworks and architectural patterns* Experience implementing enterprise data capabilities including* Data movement and integration solutions* Analytics platforms* Reporting and BI solutions## Understanding Of* Enterprise architecture standards* Security and compliance requirements* Data governance frameworks* Experience with change management and project governance processes* Experience driving continuous improvement initiatives across Agile DevOps and Data Ops teams* Experience working in regulated or compliance driven environments## Nice to have skills* Google Cloud Professional Cloud Architect certification* Google Cloud Professional Data Engineer certification* PMP Certification* SAFe Agilist Certification* Scrum Master Agile certifications* Experience establishing Data Ops best practices and delivery frameworks* Experience defining and implementing delivery KPIs and executive dashboards* Exposure to enterprise scale cloud modernization or data transformation programs* Experience improving operational efficiency through automation and engineering best practices* Background in highly governed enterprise environments with complex stakeholder ecosystems## Life At CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: * Flexible work* Healthcare including dental, vision, mental health, and well-being programs* Financial well-being programs such as 401(k) and Employee Share Ownership Plan* Paid time off and paid holidays* Paid parental leave* Family building benefits like adoption assistance, surrogacy, and cryopreservation* Social well-being benefits like subsidized back-up child/elder care and tutoring* Mentoring, coaching and learning programs* Employee Resource Groups* Disaster Relief## DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law## Salary TransparencyThe primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effeCapgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 to $128656 /yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.ctively to drive business outcomes.For this role, the gross annual base salary range is $103330 to $128656 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process. #J-18808-Ljbffr

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