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Electrical Engineer Data Analyst Jobs in Washington

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All JobsElectrical Engineer Data Analyst JobsElectrical Engineer Data Analyst Jobs in Washington

Electrical Engineer Data Analyst information

See Washington salary details

$57.2K

$125.8K

$190.3K

How much do electrical engineer data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for electrical engineer data analyst in Washington is $125,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $149,500.00 per year, depending on experience, location, and employer.

Can an electrical engineer be a data analyst?

An electrical engineer can transition into a data analyst role, especially if they develop skills in data analysis tools like Excel, SQL, and programming languages such as Python or R. Their strong analytical, problem-solving, and technical skills can be valuable in data analysis tasks, though additional training or certification in data-specific methods may be beneficial.

Can you make $500,000 as an electrical engineer?

Electrical engineers typically earn salaries below $500,000, with high earners in specialized roles, management, or with extensive experience and advanced certifications. Achieving such a high income usually requires senior positions, leadership roles, or working in industries like aerospace or energy with significant responsibilities.

What is the difference between Electrical Engineer Data Analyst vs Electrical Engineer?

AspectElectrical Engineer Data AnalystElectrical Engineer
Required CredentialsBachelor's in Electrical Engineering, Data Analysis skills, possibly certifications in data analyticsBachelor's or higher in Electrical Engineering, Professional Engineer (PE) license often preferred
Work EnvironmentData-focused roles in offices, labs, or project sites, combining engineering and data analysisDesign, testing, and maintenance in labs, manufacturing plants, or field sites
Industry UsageTech companies, utilities, consulting firms integrating data analysis with electrical engineeringPower, manufacturing, telecommunications, and infrastructure sectors
Common Search & ComparisonElectrical Engineer Data Analyst vs Electrical Engineer

The main difference lies in focus: Electrical Engineer Data Analysts combine electrical engineering knowledge with data analysis skills to interpret and optimize electrical systems, while Electrical Engineers primarily design, develop, and maintain electrical systems. Both roles require a strong technical background, but the Data Analyst role emphasizes data skills alongside engineering expertise.

What are the key skills and qualifications needed to thrive as an Electrical Engineer Data Analyst, and why are they important?

Thriving as an Electrical Engineer Data Analyst requires a solid background in electrical engineering principles, data analysis, and typically a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, Excel, and data visualization platforms, as well as knowledge of statistical analysis and machine learning, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help set top performers apart. These competencies are crucial for extracting meaningful insights from complex engineering data, driving innovation, and supporting informed technical decisions.

What engineering jobs pay $500,000?

Electrical engineers with specialized skills in areas such as power systems, control systems, or working in executive or consulting roles can reach or exceed $500,000 annually. High-paying positions often require advanced certifications, extensive experience, and leadership responsibilities in industries like energy, aerospace, or technology development.

How do Electrical Engineer Data Analysts typically collaborate with cross-functional teams in a project setting?

Electrical Engineer Data Analysts often work closely with design engineers, project managers, and IT specialists to gather, analyze, and interpret data from electrical systems. They contribute insights that help optimize system performance, support troubleshooting, and inform decision-making processes. Regular meetings and data-sharing sessions are common, ensuring that findings are integrated into both the design and operational phases. This collaborative environment allows analysts to broaden their technical understanding and build valuable communication skills, which are essential for career growth.

What engineers make $300,000 a year?

Senior electrical engineers, data engineers, and specialized software engineers with extensive experience and advanced skills can earn $300,000 or more annually, especially in high-demand industries or senior leadership roles. Achieving this level often requires advanced certifications, a strong track record, and working in competitive or high-cost regions.

What are Electrical Engineer Data Analysts?

Electrical Engineer Data Analysts are professionals who combine expertise in electrical engineering with data analysis skills. They collect, process, and analyze data related to electrical systems, circuits, or equipment to improve performance, efficiency, and safety. Their work often involves using software tools to interpret large datasets, identify trends, and make recommendations for design improvements or troubleshooting. These analysts play a crucial role in research, product development, and system optimization in industries such as energy, manufacturing, and telecommunications.
What are popular job titles related to Electrical Engineer Data Analyst jobs in Washington? For Electrical Engineer Data Analyst jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Electrical Engineer Data Analyst jobs in Washington look for? The top searched job categories for Electrical Engineer Data Analyst jobs in Washington are:
What cities in Washington are hiring for Electrical Engineer Data Analyst jobs? Cities in Washington with the most Electrical Engineer Data Analyst job openings:
Electrical Engineer Data Analyst jobs near you

Software Engineer / Data Analyst

Staffed4U

Annapolis Junction, MD

$168K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Software Engineer / Data Analyst

Location: Annapolis Junction, MD
Clearance: TS/SCI with Polygraph required
Work Type: On-site
Salary: $168,000-$178,000

Position Overview

We are seeking a Software Engineer / Data Analyst to support the design, development, integration, and deployment of data-driven software solutions. The successful candidate will work within a multidisciplinary technical team to develop applications, automate workflows, integrate artificial intelligence and machine learning technologies, and deliver innovative solutions that address complex business and operational challenges.

This position offers the opportunity to work with emerging AI/ML technologies, modern software development frameworks, and large-scale data environments while supporting the full software development lifecycle from requirements gathering through deployment and sustainment.

Key Responsibilities
  • Collaborate with stakeholders to gather, analyze, and document business and technical requirements.
  • Evaluate opportunities to apply artificial intelligence and machine learning technologies to improve processes and decision-making.
  • Design, develop, test, and maintain software applications and analytical solutions.
  • Develop automated analysis and data processing workflows.
  • Integrate new capabilities into existing platforms, applications, and software development frameworks.
  • Build scripts, tools, and user interfaces to transform, normalize, and visualize data from multiple sources.
  • Automate business processes and workflows through the development and integration of new software capabilities.
  • Develop rapid prototypes and proof-of-concept solutions to evaluate emerging technologies and approaches.
  • Support deployment, monitoring, troubleshooting, and maintenance of production software services.
  • Collaborate with software engineers, analysts, and technical stakeholders to deliver scalable and reliable solutions.
Required QualificationsEducation and Experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline and three (3) years of relevant experience; OR
  • Four (4) additional years of directly related experience may be substituted for the degree requirement.
Technical Qualifications
  • Experience working with artificial intelligence, machine learning platforms, or data analytics technologies.
  • Production software development experience using Python and/or JavaScript.
  • Experience deploying, supporting, and maintaining production software services.
  • Experience with containerization technologies, including Docker.
  • Experience deploying or managing applications in Kubernetes environments.
  • Experience using version control systems such as Git.
  • Experience working with Continuous Integration and Continuous Deployment (CI/CD) pipelines.
  • Experience using project management and collaboration tools such as Jira and Confluence.
Preferred Qualifications
  • Experience developing applications with AI-assisted development tools or agent-based AI frameworks.
  • Experience programming in additional languages such as Java or C.
  • Experience developing web applications using modern JavaScript frameworks, including React, Vue, or similar technologies.
  • Experience analyzing large-scale operational, security, system, or network datasets.
  • Experience developing data processing, analytics, or automation solutions.
  • Familiarity with cloud-native architectures and distributed systems.
  • Knowledge of machine learning workflows, model deployment, and AI application integration.
Knowledge, Skills, and Abilities
  • Strong software engineering and problem-solving skills.
  • Ability to evaluate complex technical challenges and develop practical solutions.
  • Strong analytical and data interpretation capabilities.
  • Experience working in dynamic environments with evolving requirements.
  • Excellent written and verbal communication skills.
  • Ability to collaborate effectively with multidisciplinary technical teams and stakeholders.
  • Strong organizational skills and attention to detail.
  • Ability to balance multiple priorities while delivering high-quality technical solutions.
Benefits

This position includes a competitive and flexible benefits package, including:

  • Medical
    Employer pays 100% of the monthly premium for the employee and 80% for the employee’s dependents.

  • Health Savings Account (HSA)
    Save for all medical, dental, vision and prescription expenses by contributing pre-tax money to an HSA account. Employer contributes 50% of the annual deductible (prorated to start date).

  • Dental and Vision
    Employer pays 100% of the monthly premium for the employee and 80% for dependents.

  • Life Insurance
    100% company-paid Life and Accidental Death & Dismemberment (AD&D) coverage offered to all full-time employees.

  • Short-Term Disability
    100% company-paid short-term disability. This benefit pays out 60% of earnings, with a $1,500 maximum for up to 12 weeks.

  • Retirement Plan
    Automatic 6% of salary contributed to the company 401(k) plan, fully vested. Employee match encouraged but not required.

  • Paid Time Off (PTO) & Holidays
    5–6 weeks of PTO based on tenure with the company, in addition to 11 paid holidays.

  • Tuition Reimbursement
    $5,000 annually for courses directly related to job role and responsibilities.

  • Training Reimbursement
    Paid training, certification courses, and conferences to support employee career growth.

We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.