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Data Engineer Pmp Jobs in Virginia (NOW HIRING)

Elder Research

Project Manager

Arlington, VA · On-site

Internally, they regularly interface with technical data scientists, data engineers, data analysts ... PMP Certification (or the willingness and ability to receive a PMP certification within one year of ...

SHR Consulting Group, LLC

Project Director

Bluemont, VA · On-site

$140K - $165K/yr

Lead delivery across data engineering, data migration, source-system integration, data architecture ... SAFe, PMP, PMI-ACP, CSM, or similar program/Agile certification. * Experience managing Firm-Fixed ...

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Data Engineer Pmp information

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.

What are popular job titles related to Data Engineer Pmp jobs in Virginia?

For Data Engineer Pmp jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Engineer Pmp jobs in Virginia look for?

The top searched job categories for Data Engineer Pmp jobs in Virginia are:

What cities in Virginia are hiring for Data Engineer Pmp jobs?

Cities in Virginia with the most Data Engineer Pmp job openings:

Data Engineer Pmp jobs near you
Infographic showing various Data Engineer Pmp job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Project Manager

Arlington, VA • On-site

Elder Research
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about Elder Researchexternal

Full-time

Re-posted 18 days ago

Job description

Project Manager
General Information
Requisition # 711
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS - MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Project Managaer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Project Manager. The Project Manager will drive technology and analytics delivery by: (1) managing and leading technical team members, (2) managing all facets of project execution and high-quality delivery � in scope, on time, within budget, (3) managing client expectations and client satisfaction in product delivery, and (4) overseeing contractual, financial, and resourcing data and information for the client and the Elder Research organization.
Responsibilities include but are not limited to:
  • The ideal Project Manager will also have an understanding and appreciation for data, analytics, and technology, and will have involved in the design, build, test, deploy phases of data analytics and data science products and solutions.
  • Internally, they regularly interface with technical data scientists, data engineers, data analysts, and software engineers to aid in business analysis, requirements gathering, technology design and delivery, and quality assurance.
  • Externally, they regularly interface with clients at numerous levels of an organization�program managers, stakeholders, end-users, data owners, analysts, IT groups, and management
  • Facilitate and lead the tactical delivery of analytics projects.

Minimum Qualifications:
  • PMP Certification (or the willingness and ability to receive a PMP certification within one year of hire)
  • Multi-year experience with leading projects within industry standard project management frameworks (i.e., PMP, Waterfall, Agile, Scrum, Kanban)
  • Multi-year experience in the consulting industry (technology, management, strategy) and managing client engagements with either internal or external clients
  • Experience with government contracting or experience working with federal government agencies

Preferred Qualifications:
  • Master's degree in data science, data analytics, math, statistics, engineering, computer science, or business administration.
  • Involved in team efforts to design and deploy data and analytics solutions that involve querying databases, analyzing data, building data pipelines, and applying data science concepts such as supervised and unsupervised, text mining, and graph analytics
  • Agile Certified
  • Multi-year experience growing and expanding federal government portfolios

Clearance Requirements:
  • Must have a IRS Public Trust w/a Full Background Investigation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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