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Engineering Manager Transformer Jobs in Reading, PA

Data Engineer

Wyomissing, PA

$110K - $132K/yr

... modern data engineering-supporting data pipelines, integrations, reporting, and database ... Support reporting needs for operations, finance, and leadership teams * Assist in managing backups ...

Lead Substation Electrical Engineer

Reading, PA · On-site

$153K - $160K/yr

You will provide engineering support for the design of substation facilities for 69kV and above for ... Interface with other departmental staff, project management, and with outside customers. * Ability ...

Senior Substation Electrical Engineer

Reading, PA · On-site

$103K - $134K/yr

Preparation of engineering drawings including layout and general arrangements for all major ... Collaborate with project managers, drafters, civil/structural engineers, and field personnel.

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To provide engineering support for the design of substation facilities for 69kV and above for ... Interface with other departmental staff, project management, and with outside customers. * Ability ...

Demonstrating proficiency in the use of engineering analysis software to model the distribution ... Performing protective device coordination studies for substation transformers and circuit breakers ...

Partner with engineering/IT delivery leaders to translate validated problems into product ... Transform financial systems to streamline critical workflows and enhance teammate experience and ...

Showing results 21-40

Engineering Manager Transformer information

See Reading, PA salary details

$44.7K

$141K

$167.1K

How much do engineering manager transformer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for engineering manager transformer in Reading, PA is $141,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $166,100.00 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 cities near Reading, PA are hiring for Engineering Manager Transformer jobs?

Cities near Reading, PA with the most Engineering Manager Transformer job openings:

Infographic showing various Engineering Manager Transformer job openings in Reading, PA 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 $141,044 per year, or $67.8 per hour.

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Metropolitan Companies is seeking a Data Engineer to support our growing data and application environment. This role will serve as a critical bridge between traditional database administration and modern data engineering-supporting data pipelines, integrations, reporting, and database performance.

This position is ideal for someone who has a strong foundation in SQL and databases, and is looking to grow into data engineering, automation, and analytics. The individual will work closely with developers, business teams, and IT leadership to ensure data is accurate, accessible, and optimized for business use.
This is an excellent opportunity for a motivated professional with a strong technical background who enjoys working in a fast-paced, evolving environment. We offer a competitive compensation package including medical, dental, vision, life insurance, disability coverage, 401(k), bonus opportunities, paid time off, and more.
  • Design, build, and maintain data pipelines for internal applications and reporting
  • Write, optimize, and maintain SQL queries, stored procedures, and database jobs
  • Support and maintain SQL Server and other relational databases
  • Monitor database performance, troubleshoot issues, and improve efficiency
  • Assist with ETL/ELT processes to move and transform data between systems
  • Work with APIs and external systems to integrate data into internal platforms
  • Ensure data integrity, consistency, and reliability across systems
  • Support reporting needs for operations, finance, and leadership teams
  • Assist in managing backups, restores, and disaster recovery processes
  • Document data flows, schemas, and processes for internal use
  • Collaborate with development teams on data structures and application performance
Requirements: 
  • 2-5 years of experience working with databases or data-related roles
  • Strong knowledge of SQL (queries, joins, indexing, performance tuning)
  • Experience with SQL Server or similar relational databases
  • Understanding of data structures and relational design
  • Experience writing scripts or automations (PowerShell, Python, or similar)
  • Ability to troubleshoot data issues and think analytically
  • Strong attention to detail and data accuracy

Preferred: 
  • Experience with ETL tools or data pipeline frameworks
  • Familiarity with APIs and data integrations
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Experience with reporting tools (Power BI, Tableau, etc.)
  • Understanding of CI/CD or version control (Git)
  • Basic knowledge of data warehousing concepts



  • Medical, Dental, Vision Insurance
  • Voluntary Benefits (Life Insurance, Short-Term & Long-Term Disability)
  • Health Savings Account (HSA)
  • 401(k) Plan
  • Holiday Pay
  • Paid Time Off
  • Bonus Program
  • Employee Referral Bonus