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Data Engineer Pmp Jobs (NOW HIRING)

Seadrill Limited

... Agile/DevOps practices and meets agreed quality and governance benchmarks. Establish data ... PMP or similar programme management qualification. Qualifications Bachelor's degree in Data ...

PROLIM Global Corporation

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 ...

Dynata

Data Product Engineer

Westport, CT · On-site +1

$140K - $160K/yr

The Data Product Engineer owns the lifecycle of data products built on the lakehouse platform ... CDMP, PMP, or Agile Product Owner At Dynata, we deliver the highest quality first-party data to ...

Ontech Talent

Be Seen First

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

TOGAF, ITIL, CBIP, PMP, and/or Microsoft Data Engineering / Development / Architecture certifications. * Familiarity with Azure API Management, Infor ION API Gateway, MuleSoft, Boomi, Apigee, Kong ...

Dynata

Data Product Engineer

$140K - $160K/yr

... engineers to ensuretimelyand quality delivery of data products Establishand track KPIs for data ... CDMP, PMP, or Agile Product Owner At Dynata, we deliver the highest quality first-party data to ...

Dynata

Data Product Engineer

Westport, CT · On-site

$140K - $160K/yr

... engineers to ensuretimelyand quality delivery of data products Establishand track KPIs for data ... CDMP, PMP, or Agile Product Owner At Dynata, we deliver the highest quality first-party data to ...

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Data Engineer Pmp information

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How much do data engineer pmp jobs pay per year?

As of Sep 13, 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.
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Data Engineer Pmp jobs near you
Infographic showing various Data Engineer Pmp job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Technical Project Manager Data Engineering Data Science

Dallas, TX • On-site

Select Minds LLC
IT Services • 51 - 200 employees
Learn more about Select Minds LLCexternal

$60 - $70/hr

Full-time

Re-posted 18 days ago

Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Technical Project Manager | Data Engineering & Data Science
Location: Dallas, TX Hybrid (Onsite + Remote)
Employment Type: Full Time / Contract (W2)
Duration: 12+ Months (Ongoing)
Cloud Environment: Amazon Web Services (AWS)
Team Structure: US Onsite Teams and Offshore GCC Teams
Compensation: Competitive Market Rate
We are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment.
In this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery.
Required Qualifications
Technical Skills
* Experience managing Data Engineering and/or Data Science projects
* Strong understanding of AWS data services: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • Amazon Athena • Amazon SageMaker • AWS Lambda • AWS Step Functions
* Knowledge of ETL/ELT frameworks and modern data pipeline architecture
* Familiarity with Machine Learning lifecycle management
* Experience with Agile delivery methodologies (Scrum or SAFe)
* Experience using Jira, Confluence, or similar project management tools
* Understanding of cloud security, data governance, and data quality best practices
Project Management
* Experience managing complex enterprise technology programs
* Experience coordinating onsite and offshore GCC teams
* Strong skills in project planning, dependency management, risk management, and stakeholder communication
* Ability to communicate technical concepts effectively to executive leadership
Professional Skills
* Excellent verbal and written communication
* Strong organizational and planning abilities
* Ability to manage multiple priorities in a fast-paced environment
* Comfortable working with cross-functional and multicultural teams
Key Responsibilities
Project Delivery
* Lead end-to-end delivery of Data Engineering and Data Science initiatives
* Define project scope, timelines, milestones, and success metrics
* Manage project plans, RAID logs, risk registers, and executive status reporting
* Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives
Offshore Team Coordination
* Serve as the primary liaison between onsite stakeholders and offshore GCC teams
* Coordinate work across multiple time zones
* Manage resource planning, priorities, escalations, and delivery governance
* Ensure transparency and accountability across distributed teams
Technical Leadership
AWS Technologies: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • AWS Lambda • Amazon SageMaker • Amazon Athena • AWS Step Functions
Preferred Qualifications
Certifications : PMP • PMI-ACP • Certified Scrum Master (CSM) • SAFe • AWS Cloud Practitioner • AWS Solutions Architect
Industry Experience :Commercial Airlines • Travel • Transportation • Logistics
Additional Technical Experience : Kafka • Amazon Kinesis • Tableau • Amazon QuickSight • Microsoft Power BI • DataOps • MLOps
Domain Knowledge :Passenger Operations • Revenue Management • Fleet Analytics • Loyalty Programs
Flexible work from home options available.
Compensation: $60.00 - $70.00 per hour
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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