ZipRecruiter

Log In

1

Project Manager Data Engineer Jobs (NOW HIRING)

TEKsystems

Data Engineer

Saint Paul, MN

$70 - $80/hr

We are currently seeking a Data Engineer to join our team. This role will support our data-driven ... in project management and cross-functional collaboration. Employee Value Proposition (EVP) Our ...

CBRE

Project Manager-Data Center

Fort Wayne, IN · On-site

$119K/yr

PROJECT MANAGER About the Job: The Project Manager (PM) will be a lead member in our operations ... Initiate and coordinate the design efforts and the value of engineering processes. * Schedule the ...

SPX

Project Manager - Data Center

Overland Park, KS

$114K/yr

... hospitals, data centers, and power plants. With cooling towers, fans, and refrigeration units ... Project time schedule management between engineering, construction, and supply chain resources

SPX

Project Manager - Data Center

Overland Park, KS · On-site

$114K/yr

... hospitals, data centers, and power plants. With cooling towers, fans, and refrigeration units ... Project time schedule management between engineering, construction, and supply chain resources

Royal Electric

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Integrate data from ERP/MRP, project management, scheduling, field mobility, and financial systems ... Data Platform Engineering & Automation * Build and optimize data models, staging layers, and ...

Centstone

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Data Engineer Location: Sunnyvale, California (Onsite) Contract: 6 -12+ Months Experience: 12 - 15 ... Project & Stakeholder Management Candidates with experience supporting enterprise reporting ...

Royal Electric

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Integrate data from ERP/MRP, project management, scheduling, field mobility, and financial systems ... Data Platform Engineering & Automation * Build and optimize data models, staging layers, and ...

Evapco

Project Manager - Data Center Market

Taneytown, MD · On-site

$75K - $100K/yr

Data Center Market - Project Manager The position will be part of EVAPCO's newly created Data ... Collaborate with engineering, quality and manufacturing to ensure that all project activities ...

CDM Smith

Industrial Project Manager - Data Centers

WA · On-site

$129K/yr

The ideal candidate will have proven experience planning, managing, engineering of design build, and/or EPC (engineer, procure, construct) projects for data centers, including power delivery, water ...

CDM Smith

Industrial Project Manager - Data Centers

MO · On-site

$114K/yr

The ideal candidate will have proven experience planning, managing, engineering of design build, and/or EPC (engineer, procure, construct) projects for data centers, including power delivery, water ...

Programmanagers

Project Manager- Data Center

Saline, MI · On-site

$109K/yr

... a Project Manager to support our Data Center projects in Michigan. This is an on-site role in ... Bachelor's degree in construction management, engineering, architecture, or similar field.

Yates Construction

Project Manager - Data Center

Vernon, TX · On-site

$40.75 - $55/hr

Job Title: Project Manager - Data Center Locations: Vernon, Texas - Traveling Job Summary: The ... An undergraduate University degree or higher (preferably in Construction Management, Engineering ...

Suffolk Construction

Project Manager, Data Centers

Austin, TX · On-site

$51.25 - $69.50/hr

Bachelor's degree in Construction Management, Engineering or applicable discipline and experience ... project close-outs with client and subcontractor relationships in good standing * Excellent ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsDatabase Administrator JobsProject Manager Data Engineer Jobs

Project Manager Data Engineer information

See salary details

$16

$57

$80

How much do project manager data engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for project manager data engineer in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 per hour, depending on experience, location, and employer.

What is a project manager data engineer?

A Project Manager Data Engineer is a professional who combines expertise in data engineering with project management skills. They are responsible for overseeing data-related projects, ensuring that data pipelines, databases, and analytics platforms are designed, built, and maintained according to project requirements and timelines. Their role often includes coordinating cross-functional teams, managing resources, setting milestones, and communicating with stakeholders to deliver successful data solutions. In addition to technical knowledge, they must have strong organizational and leadership abilities. This hybrid position is increasingly important as organizations rely more on data-driven decision making.

How does a project manager data engineer typically collaborate with cross-functional teams during a project lifecycle?

A Project Manager Data Engineer regularly works with cross-functional teams, including software developers, data analysts, business stakeholders, and IT personnel. They facilitate communication between technical and non-technical team members, ensuring project requirements are clearly defined, data solutions align with business objectives, and deliverables meet quality standards. This role often involves leading meetings, managing timelines, and resolving any data-related issues that arise, fostering a collaborative and productive work environment throughout the project lifecycle.

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

To thrive as a Project Manager Data Engineer, you need a solid background in data engineering, project management methodologies, and a relevant degree such as computer science or engineering. Familiarity with data warehousing tools, ETL processes, cloud platforms (e.g., AWS, Azure), and certifications like PMP or Agile Scrum Master are typically required. Strong leadership, problem-solving, and communication skills help in managing cross-functional teams and stakeholder expectations. These skills and qualifications are crucial for delivering data projects on time, ensuring data quality, and aligning technical solutions with business goals.

What is the difference between Project Manager Data Engineer vs Data Engineer?

AspectProject Manager Data EngineerData Engineer
Primary RoleOversees data projects, manages teams, coordinates timelinesBuilds, maintains, and optimizes data pipelines and infrastructure
Required SkillsProject management, communication, basic data knowledgeProgramming, database systems, data modeling
CertificationsPM certifications (PMP, Scrum)Data engineering certifications (Google Cloud, AWS)
Work EnvironmentProject teams, cross-functional collaborationData platforms, cloud environments, coding environments

While a Project Manager Data Engineer focuses on managing data projects and teams, a Data Engineer is responsible for creating and maintaining data systems. Both roles often collaborate but differ in technical depth and project oversight responsibilities.

What cities are hiring for Project Manager Data Engineer jobs?

Cities with the most Project Manager Data Engineer job openings:

What states have the most Project Manager Data Engineer jobs?

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

What are popular job titles related to Project Manager Data Engineer jobs?

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

US - Program Manager - Data Solutions (AI PMO

Irvine, CA • On-site

AuxoAI Inc.
See more jobs at AuxoAI Inc.external

$55.50 - $75.25/hr

Other

Re-posted 6 days ago

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

US - Program Manager - Data Solutions (AI PMO

Irvine, United States | Posted on 08/03/2026

AuxoAI helps enterprises transform how they operate by combining business consulting, data, engineering, and Agentic AI. We are building an AI-native consulting model in which every team member is expected to use AI thoughtfully to improve speed, insight, quality, and client outcomes.

What You Will Do
  • Maintain the integrated delivery plan for data migration, conversion, cleansing, reconciliation, and validation activities.
  • Coordinate business data owners, source-system teams, data engineers, functional teams, testing teams, and the System Integrator.
  • Track data objects, conversion cycles, mock loads, entry and exit criteria, defects, reconciliations, and business sign-offs.
  • Manage dependencies between source extraction, transformation rules, Oracle load processes, downstream validation, and cutover sequencing.
  • Facilitate data readiness reviews and drive resolution of quality, mapping, ownership, timing, and environment issues.
  • Prepare concise status reporting on conversion progress, data quality, open defects, reconciliation results, and readiness risks.
  • Support SIT, UAT, business simulation, cutover rehearsals, production migration, and hypercare validation.
  • Ensure decisions, assumptions, mapping changes, and unresolved data issues are traceable and assigned to accountable owners.
AI-Enabled Delivery Responsibilities
  • Use AI to summarize mapping documents, identify conflicting transformation rules, and highlight incomplete data ownership decisions.
  • Generate AI-assisted conversion status narratives, reconciliation summaries, defect themes, and data-quality risk insights.
  • Apply AI to compare source-to-target specifications, workshop decisions, and test evidence for traceability gaps.
  • Develop repeatable prompts or workflows that improve the speed and consistency of data PMO activities.
Common AI-First Expectations at AuxoAI
  • Use enterprise AI tools such as ChatGPT Enterprise, Claude Enterprise, Gemini, or equivalent platforms to accelerate delivery and improve decision-making.
  • Apply AI to automate meeting summaries, action-item tracking, status reporting, executive communications, and document synthesis.
  • Use AI-assisted analysis to identify delivery risks, cross-team dependencies, emerging bottlenecks, and areas requiring leadership attention.
  • Continuously identify PMO activities that can be simplified, standardized, or automated through AI and workflow automation.
  • Validate AI-generated outputs for accuracy, confidentiality, traceability, and business relevance before they are used in program decisions.
  • Collaborate with consulting, data, engineering, and AI teams to pilot and scale AI-enabled delivery practices across the program.
Requirements
  • 4-6 years of experience in project coordination, project management, data delivery, or enterprise transformation.
  • Understanding of data migration concepts including extraction, cleansing, mapping, conversion, validation, and reconciliation.
  • Experience coordinating cross-functional teams and tracking milestones, dependencies, risks, issues, and decisions.
  • Strong Excel, documentation, analytical, and communication skills.
  • Ability to translate technical data issues into clear business and program impacts.
  • Comfort using AI tools to analyze documents, summarize findings, and improve reporting.
Preferred Qualifications
  • Experience with Oracle Fusion data conversion, FBDI, ADFdi, or related Oracle data-load methods.
  • Exposure to SQL, ETL/ELT, Snowflake, Informatica, Oracle Integration Cloud, or similar platforms.
  • Experience supporting mock conversions, reconciliations, SIT, UAT, or cutover.
  • Experience with Jira, Azure DevOps, Power BI, Tableau, Smartsheet, or Microsoft Project.
  • Familiarity with data governance, data quality, and master data management.
#J-18808-Ljbffr

Apply