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Project Manager Data Engineer Jobs in Virginia (NOW HIRING)

Zachary Piper Solutions

Data Engineer

Norfolk, VA · On-site

$95K - $105K/yr

The Data Engineer will be responsible for ingesting, transforming, staging, aggregating, and ... Design and manage data movement between SQL databases, repositories, and cloud environments

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Establish data quality, metadata management, lineage, and governance processes to ensure ... personnel and project team members regarding data engineering best practices, modern data ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Establish data quality, metadata management, lineage, and governance processes to ensure ... personnel and project team members regarding data engineering best practices, modern data ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Establish data quality, metadata management, lineage, and governance processes to ensure ... personnel and project team members regarding data engineering best practices, modern data ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Establish data quality, metadata management, lineage, and governance processes to ensure ... personnel and project team members regarding data engineering best practices, modern data ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... project needs require Preferred Qualifications: * Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... project needs require Preferred Qualifications: * Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... project needs require Preferred Qualifications: * Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision ...

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Project Manager Data Engineer information

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 in Virginia are hiring for Project Manager Data Engineer jobs?

Cities in Virginia with the most Project Manager Data Engineer job openings:

Data Engineer

Norfolk, VA • On-site

Zachary Piper Solutions
IT Services • 51 - 200 employees
Learn more about Zachary Piper Solutionsexternal

$95K - $105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Zachary Piper Solutions is seeking a Data Engineer (Azure Data Factory) to support a government consulting organization in any of the following three locations: Norfolk, VA, San Diego, CA, or Jacksonville, FL. The Data Engineer will be responsible for ingesting, transforming, staging, aggregating, and preparing enterprise data for reporting and analytics initiatives across multiple systems and databases.

Responsibilities of the Data Engineer (Azure Data Factory) Include:
  • Build, maintain, and optimize enterprise data pipelines using Azure Data Factory (ADF)
  • Ingest, transform, cleanse, stage, and aggregate data from disparate and legacy systems
  • Design and manage data movement between SQL databases, repositories, and cloud environments
  • Develop backend data solutions that support Power BI and enterprise reporting platforms
  • Collaborate with stakeholders to determine data connectivity, storage strategies, and reporting requirements
Qualifications for the Data Engineer (Azure Data Factory) Include:
  • Active Security+ (IAT Level II) certification and an
  • Active Secret Clearance
  • 3-4 years of hands-on Data Engineering experience, including enterprise data transformation, staging, aggregation, and pipeline development
  • Experience building and maintaining data pipelines using Azure Data Factory (ADF) and integrating data across multiple systems and databases
  • Strong experience with SQL databases, data modeling, and preparing data for enterprise reporting and analytics
  • Experience supporting Power BI or similar Business Intelligence/reporting tools in an enterprise environment
Compensation for the Data Engineer (Azure Data Factory) Include:
  • Salary Range: $95,000 - $105,000
  • Comprehensive Benefits: Medical, Dental, Vision, 401(k), PTO, Sick Leave if required by law, and Holidays

Keywords: Azure Data Factory (ADF), Data Engineer, Azure Data Engineer, Azure Cloud, Azure SQL, SQL Server, T-SQL, Data Pipelines, ETL, ELT, Data Integration, Data Migration, Data Ingestion, Data Transformation, Data Cleansing, Data Wrangling, Data Aggregation, Data Staging, Data Modeling, Data Warehousing, Enterprise Data Management, Data Repository Development, Database Development, Legacy System Integration, API Integration, Cloud Data Solutions, Data Architecture, Business Intelligence (BI), Power BI, Dashboard Development, Reporting Solutions, Analytics, Enterprise Reporting, SSIS, ETL Development, PowerShell, Python, XML, Splunk, Data Lake, Azure Storage, Microsoft Azure, Backend Data Engineering, Data Connectivity, Data Movement, SQL Databases, Data Governance, Data Quality, Data Operations, Security+

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