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Engineering Manager Transformer Jobs in Washington, DC

Pwc

CTIO - AI Engineer- Senior Manager

Washington, DC

$91K - $321K/yr

Responsibilities - Leading the design and development of advanced data solutions to transform raw ... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ...

Liquid Robotics

Senior Electrical Engineer

Jessup, MD · On-site

$112K - $155K/yr

This position is based in the Jessup, MD and reports to the Electrical Engineering Manager ... With our partners we address many of the planet's greatest challenges, by transforming how to ...

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All JobsEngineering Transformer JobsEngineering Manager Transformer JobsEngineering Manager Transformer Jobs in Washington, DC

Engineering Manager Transformer information

See Washington, DC salary details

$52.7K

$166.3K

$197.1K

How much do engineering manager transformer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for engineering manager transformer in Washington, DC is $166,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,900.00 and $195,900.00 per year, depending on experience, location, and employer.

What is an engineering manager transformer?

An Engineering Manager Transformer is a leadership position focused on managing teams that develop, implement, and maintain transformer models, which are a type of machine learning model commonly used in natural language processing and other AI applications. This role combines technical expertise in transformer architectures with management responsibilities such as team coordination, project oversight, and mentoring engineers. Engineering Manager Transformers play a crucial role in setting technical direction, ensuring best practices, and facilitating collaboration across cross-functional teams. Their work impacts the successful deployment of large-scale AI solutions and helps organizations stay at the forefront of machine learning innovation.

What are the key skills and qualifications needed to thrive as an engineering manager transformer?

To excel as an Engineering Manager Transformer, you need a deep understanding of electrical engineering principles, transformer design, and manufacturing processes, usually backed by a bachelor’s or master’s degree in electrical engineering. Familiarity with CAD software, power system analysis tools, and industry standards such as IEEE or IEC, along with relevant certifications like Professional Engineer (PE), is highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies are crucial for ensuring technical excellence, team productivity, and the successful delivery of complex transformer projects.

What are some typical challenges an engineering manager transformer faces when leading cross-functional teams?

Engineering Manager Transformers often navigate complex project requirements that require close collaboration between electrical, mechanical, and software engineering teams. One common challenge is aligning diverse technical perspectives and ensuring effective communication to meet project deadlines. Additionally, balancing resource allocation while maintaining high standards for safety and compliance can be demanding. Successful managers foster a collaborative environment and proactively address any knowledge gaps within the team to deliver high-quality transformer solutions.

What is the difference between Engineering Manager Transformer vs Data Engineer?

AspectEngineering Manager TransformerData Engineer
Required CredentialsBachelor's/Master's in Engineering, Computer Science; leadership experienceBachelor's in Computer Science, Data Science, or related field; technical skills in data systems
Work EnvironmentLeading teams, project management, cross-department collaborationBuilding and maintaining data pipelines, data modeling, database management
Employer & Industry UsageTech companies, AI/ML firms, organizations deploying Transformer modelsData-driven companies, analytics firms, AI/ML organizations

While both roles involve technical expertise, the Engineering Manager Transformer focuses on leading teams developing Transformer-based AI models, whereas Data Engineers build and maintain the data infrastructure supporting such models. The former emphasizes leadership and project management, while the latter concentrates on data pipeline development.

What are popular job titles related to Engineering Manager Transformer jobs in Washington, DC?

For Engineering Manager Transformer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Engineering Manager Transformer jobs in Washington, DC look for?

The top searched job categories for Engineering Manager Transformer jobs in Washington, DC are:

Engineering Manager Transformer jobs near you
Infographic showing various Engineering Manager Transformer job openings in Washington, DC as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $166,342 per year, or $80 per hour.

Principal Dataflow Systems Engineer

Fuse Engineering LLC

Annapolis Junction, MD

Full-time

Re-posted 3 days ago

Job description

Description

 **A SECURITY CLEARANCE AND POLYGRAPH ARE REQUIRED 

The engineer shall be responsible for creating, sustaining, and troubleshooting complex operational data flows including data storage, data transport, data management, data security, data compliance, and knowledge store management.

Additional tasking includes working with the mission customer to perform exploratory data analysis on raw data to clean, enrich, transform and convert the raw data into the required formats. The contractor shall also be responsible for devising methods to improve existing operational data flow processing, distribution, and reliability.


Task Required Skills

Experience using the Unix CLI

Experience creating, managing, and troubleshooting complex operational data flows 

Experience using Apache NiFi canvas to process and distribute data

Experience with Corporate data flow processes and tools 

Experience with Corporate data security and compliance procedures and policies

Experience with the Atlassian Tool Suite (JIRA, Confluence, Bitbucket)

Task Desired Skills

General HPC technical knowledge regarding compute, network, memory, and storage components

Experience with the Elastic Stack (Elasticsearch/Kibana) 

Experience with time-series visualization tools such as Grafana

Experience writing scripts using Bash/Python

Experience with IaC principles and automation tools such as Ansible (Puppet and SaltStack acceptable)

Requirements


Twenty (20) years' experience as a SE in programs and contracts of similar scope, type and complexity is required. Demonstrated experience in planning and leading Systems Engineering efforts is required. Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required. Five (5) years of additional SE experience may be substituted for a bachelor's degree.

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