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Project Manager Data Engineer Jobs in Dallas, TX

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite) Description: Minimum Qualifications- Education ... management, data ingestion, capture, processing and curation Expertise in providing practical ...

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Job Title: Data Engineer Location: Dallas, TX Job Summary: As a Databricks Lead, you will be a ... Implement and manage data governance policies and access controls using Databricks Unity Catalog.

Auto Air Export, Inc.

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Manage Github PRs and act as release manager for some of the Data Engineering projects ... Experience with technical project documentation. * Work with onsite/offshore teams and help the ...

Pwc

Tax Innovation - Data Engineer - Manager

Dallas, TX

$99K - $266K/yr

Industry/Sector Not Applicable Specialism Data Engineering Management Level Manager & Summary The ... You are accountable for confirming project success and maintaining standards. Enhancing your ...

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All JobsProject Data Engineer JobsProject Manager Data Engineer JobsProject Manager Data Engineer Jobs in Dallas, TX

Project Manager Data Engineer information

See Dallas, TX salary details

$16

$56

$79

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

As of Sep 11, 2026, the average hourly pay for project manager data engineer in Dallas, TX is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $66.59 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.

Data Engineer

Fort Worth, TX • On-site

Perficientcorp Inc
See more jobs at Perficientcorp Incexternal

$109K - $131K/yr

Contractor

Re-posted 25 days ago

Job description

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite)
Description:
Minimum Qualifications- Education & Prior Job Experience
5-7 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms required:
Scripting: Python, Spark, Unix, SQL
Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
Clear understanding on Data Warehousing concept
Data Governance and Privacy: Informatica Axon and EDC, BigID
Orchestration: Azure Data Factory, Tivoli
Preferred Qualifications- Education & Prior Job Experience
5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
Skills, Licenses & Certifications
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
Expertise in providing practical direction within the Azure Native cloud services.
Azure Development Track Certification (preferred)
Spark Certification (preferred)