ZipRecruiter

Log In

1

Data Engineer Pmp Jobs (NOW HIRING)

4pconsultinginc

Data Developer IV

Birmingham, AL · On-site

Data Developer IV Location: Birmingham, AL or Atlanta, GA Work Model: Hybrid (2 days in office ... PMP, Scrum Master, or similar certification * Experience designing enterprise-scale databases and ...

Applied Digital

Electrical SME

Fargo, ND · On-site

Certifications such as PE (Professional Engineer), PMP, or relevant data center qualifications are a plus. Please note that Applied Digital is currently unable to sponsor new applicants for ...

Yale University

Data Analytics Project manager

Austin, TX · On-site

$51.25 - $69.50/hr

Supports a Technical Project Manager for a data engineering project with an AI adoption program ... PMP, PgMP, PMI-ACP, SAFe, or similar project management certification preferred. * TOGAF, Cloud ...

New

TMS

Data Modernization Program Manager

Erie, PA · On-site

Lead cross-functional teams of data engineers, cloud engineers, BI developers, and governance ... PMP Certified Sample Success Metrics * Legacy platform decommissioned within planned timelines. * X ...

Beacon Systems, Inc

Data Architecture Project Lead

Austin, TX · Hybrid

$51.25 - $69.25/hr

About Us: Beacon Systems, Inc, delivers Program Management, Science, Engineering, and Technology ... Preferred PMP, PgMP, PMI‑ACP, SAFe, or similar project management certification preferred.

New

next page

Showing results 1-20

All JobsData Engineer Pmp Jobs

Data Engineer Pmp information

See salary details

$46K

$165K

$243.5K

How much do data engineer pmp jobs pay per year?

As of May 30, 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 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.

How does a Data Engineer with PMP certification 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 Data Engineer PMPs?

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.

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.

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:
What job categories do people searching Data Engineer Pmp jobs look for? The top searched job categories for Data Engineer Pmp jobs are:
Data Engineer Pmp jobs near you
Infographic showing various Data Engineer Pmp job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Developer IV

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 6 days ago

Job description

Position: Data Developer IV

Location: Birmingham, AL or Atlanta, GA
Work Model: Hybrid
(2 days in office every other week; availability required for on-site meetings as needed)

Client: Alabama Power

Duration: 1 year

Job Summary

The Data Developer IV is a senior-level role responsible for leading and managing complex technical and data-driven initiatives from design through implementation. This position combines technical project leadership, database design and development, cloud-based solutions, and data delivery execution.

The ideal candidate brings 10+ years of experience in database design and development, strong expertise in Power BI, Azure Cloud, Python or .NET, and proven success leading cross-functional technical teams in an Agile environment.

Key Responsibilities

Project Leadership & Management

  • Lead and manage technical and data-focused projects from initiation to completion, ensuring delivery on time, within scope, and within budget
  • Collaborate with cross-functional teams including developers, engineers, designers, and business stakeholders to define requirements and objectives
  • Develop detailed project plans, including timelines, milestones, dependencies, and resource allocation
  • Monitor project progress, identify risks, and implement mitigation strategies
  • Communicate project status, risks, and issues to stakeholders and senior leadership
  • Facilitate project meetings, including kickoffs, sprint reviews, retrospectives, and status updates
  • Ensure adherence to project management best practices, standards, and methodologies
  • Maintain comprehensive project documentation, including requirements, specifications, and technical reports
  • Foster a collaborative, high-performing technical team environment

Technical Responsibilities

  • Design, program, construct, and implement new databases, ensuring scalability, performance, and data integrity
  • Lead and oversee database architecture and development efforts across enterprise platforms
  • Develop and deliver data visualization and reporting solutions using Power BI
  • Oversee Azure Cloud development projects, ensuring optimal performance, security, and scalability
  • Lead application development initiatives using Python or .NET technologies
  • Support data delivery initiatives, including requirements gathering with business partners and stakeholders
  • Partner with analytics, engineering, and business teams to align data solutions with organizational goals

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 10+ years of experience in:
  • Database design, development, and implementation
  • Technical project leadership or data engineering roles
  • Strong understanding of the Software Development Life Cycle (SDLC)
  • Hands-on experience working in Agile / Scrum environments
  • Proven expertise with:
    • Power BI
    • Azure Cloud development
    • Python or .NET application development
  • Experience supporting data delivery initiatives, including requirements gathering with business stakeholders
  • Proficiency with project management tools (JIRA, Trello, Microsoft Project, or similar)
  • Excellent organizational, analytical, and multitasking skills
  • Strong leadership, communication, and stakeholder management abilities
  • Ability to solve complex technical problems and make decisions under pressure

Preferred Qualifications

  • PMP, Scrum Master, or similar certification
  • Experience designing enterprise-scale databases and data platforms
  • Background supporting large, cross-functional data or cloud transformation initiatives

Work Environment

  • Hybrid role with limited but required on-site presence
  • Collaborative, enterprise-level technical environment
  • Combination of hands-on technical leadership and strategic project oversight