ZipRecruiter

Log In

1

Project Manager Data Engineer Jobs in Washington

ManTech International

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 ...

ManTech

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 ...

Q2Impact

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Project Summary: This contract supports the Joint Staff Strategy, Plans, and Policy Directorate (J5 ... Publish and manage curated datasets as discoverable assets within the J5 Data Catalog, ensuring ...

GIGATEC Engineering

Data Engineer

Annapolis Junction, MD · On-site

$117K - $140K/yr

GIGATEC Engineering is seeking a Data Engineer to orchestrate complex operational data flows ... The role involves managing data storage, transport, security, and compliance, as well as performing ...

CyberMedia Technologies

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

... projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and ... Support data governance initiatives including metadata management, data catalog integration ...

Smart Synergies

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Frequent interaction with data scientists, project managers, IT teams, and business stakeholders. Key Responsibilities * Design and implement big data architectures, including ingestion, processing ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient ... Work closely with data scientists, software engineers, and mission stakeholders to support ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient ... Work closely with data scientists, software engineers, and mission stakeholders to support ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient ... Work closely with data scientists, software engineers, and mission stakeholders to support ...

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient ... Work closely with data scientists, software engineers, and mission stakeholders to support ...

Kda Consulting

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient ... Work closely with data scientists, software engineers, and mission stakeholders to support ...

previous page

Showing results 41-60

All JobsProject Data Engineer JobsProject Manager Data Engineer JobsProject Manager Data Engineer Jobs in Washington

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 Washington are hiring for Project Manager Data Engineer jobs?

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

Data Engineer

Arlington, VA • On-site

ManTech International
IT Services • 5 - 10K employees
Learn more about ManTech Internationalexternal

$131K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

General information
Requisition #
R70216
Locations
USA-VA-Arlington
Posting Date
08/27/2026
Security Clearance Required
Public Trust/Suitability
Remote Type
Hybrid
Time Type
Full time
Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***
MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.
As a Data Engineer, you will support the Internal Revenue Service's mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data pipelines that power advanced analytics, machine learning models, and decision-support tools. You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions.
Your work will enable fraud detection, audit prioritization, refund review, and compliance risk analysis across large, sensitive tax and financial datasets. This role sits within an analytics-focused business unit supporting IRS enforcement, compliance, and research initiatives, partnering closely with data science and analytics teams to ensure data products are production-ready, trustworthy, and mission-aligned.
Responsibilities include but are not limited to:
  • Troubleshoot and resolve complex data and system issues across cross-functional and mission-critical environments with minimal supervision
  • Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics
  • Collaborate with data scientists and stakeholders to deploy analytics applications, dashboards, and decision-support tools
  • Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages using collaborative development practices
  • Build and maintain secure, scalable data pipelines and end-to-end systems, including operation within air-gapped or restricted government environments
  • Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ongoing support
  • Produce technical documentation and deliver briefings or presentations to technical and non-technical audiences
  • Act as a technical consultant, translating business, compliance, and enforcement needs into effective data solutions

Minimum Qualifications:
  • 2-7+ years of experience in data science, analytics, or a related technical field, with prior programming experience, preferably in Python
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • Design, build, and deploy robust, repeatable, and automated data pipelines using Python and SQL to transform raw data into analytics and ML-ready datasets
  • Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks
  • Develop and maintain end-to-end machine learning data workflows across on-premises and cloud environments, integrating backend systems with analytics platforms and user-facing applications
  • Partner closely with data scientists, analysts, product managers, and government stakeholders to align data engineering solutions with IRS mission objectives, and translate client and stakeholder requirements into clear, actionable technical designs and implementation plans
  • Modernize and optimize data and ML workflows by implementing best practices for scalability, reliability, maintainability, and security, while contributing effectively within agile, fast-paced development environments supporting iterative delivery and continuous improvement
  • Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, share knowledge across teams, and travel and work on-site with clients as project needs require

Preferred Qualifications:
  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Experience with version control systems (Git, SVN, Mercurial) and collaborative programming practices (pair programming, code reviews), as well as containerization and environment management (venv, conda)
  • Experience with platforms and technologies such as Databricks and AWS, including prior Databricks experience in Unity Catalog, PySpark, Spark SQL, and Jobs
  • Familiarity with vector, object, and document-based data storage systems, and experience implementing data engineering solutions in remote or austere environments, including use of bash and command-line tools
  • Experience with business intelligence and data visualization tools (Power BI, Tableau), and understanding of the data analytics lifecycle (e.g., CRISP-DM) and how engineering supports downstream analytics and ML use case

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

The projected compensation range for this position is $94,800.00-$157,200.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

What ManTech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply