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Data Engineer 500K information

What is a data engineer 500K?

A Data Engineer 500K job typically refers to a high-paying data engineering role, often at top tech companies, hedge funds, or startups, where total compensation (salary, bonuses, and stock options) reaches $500,000 or more. These roles usually require strong expertise in data infrastructure, ETL pipelines, cloud platforms, and big data technologies. Candidates often have years of experience in software engineering, distributed systems, and working with large-scale datasets. High-paying Data Engineer roles are common in industries like finance, AI, and big tech, where data efficiency directly impacts business success.

What are the key skills and qualifications needed to thrive in the data engineer 500K position, and why are they important?

To thrive as a Data Engineer 500K, you need a solid background in computer science, expertise in designing data architectures, and advanced proficiency with programming languages such as Python or Java, often supported by a related degree or equivalent experience. Familiarity with big data frameworks (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and certifications in these tools are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies collectively enable Data Engineers to build robust, scalable data systems that drive business insights and operational efficiency.

What are the main challenges data engineers face in high-compensation roles such as this one?

Data Engineers in high-compensation roles like this often work on complex, large-scale data infrastructure projects that require not only technical expertise but also the ability to adapt quickly to evolving technologies. One common challenge is optimizing data pipelines for both performance and reliability while managing massive volumes of data from diverse sources. Additionally, close collaboration with data scientists, engineers, and business stakeholders is necessary to understand data requirements and ensure high-quality, accessible datasets. Success in this environment depends on staying up to date with new tools, embracing continuous learning, and adeptly balancing immediate project needs with long-term architectural considerations.

What are the most commonly searched types of Data Engineer 500K jobs in Washington? The most popular types of Data Engineer 500K jobs in Washington are:
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Infographic showing various Data Engineer 500K job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Test Engineers, Levels 1, 2 (AE26041248C)

Advantage Engineering & IT Solutions Inc

Annapolis Junction, MD • On-site

$76K - $119K/yr

Full-time

Re-posted 29 days ago


Job description

AEITS, Inc. a GTSC Company, is growing its team. Seeking Test Engineers, Levels 1 and 2, depending on qualifications and experience.
~~~ These positions are pending contract award ~~~
Mission Description:
The Test Engineer supports the planning, execution, and evaluation of system-level Test & Evaluation (T&E) activities across the full lifecycle. This role analyzes system requirements, acquisition plans, and operational concepts to develop and execute test strategies, collect and analyze data, and report results to stakeholders. The engineer collaborates across integrated teams and contributes to government T&E documentation and program integration efforts.
Location: Annapolis Junction, Maryland area
~~~~ All work is on-site, in-person in a SCIF environment. This is not a hybrid or remote position.
Clearance: Top Secret SCI with appropriate polygraph.
Compensation: Level 1: $76,100 to $82,000; and Level 2: $111,000 to $119,500K.
Key Responsibilities:
  • Analyze system requirements, CONOPS, and acquisition documentation to develop test and evaluation plans, procedures, and strategies
  • Plan and execute performance analysis and data collection to support system evaluation
  • Develop and maintain T&E documentation, including:
  • Test & Evaluation Strategy (TES)
  • Test & Evaluation Master Plan (TEMP)
  • Test Plans, Procedures, and Reports
  • Test Readiness Assessments and Evaluation Reports
  • Identify and assess performance risks to inform test planning and execution
  • Design and implement data collection strategies, sampling methods, and analysis approaches
  • Apply statistical analysis and modeling & simulation techniques to evaluate system performance
  • Select, develop, and utilize analysis tools, instrumentation, and data management systems
  • Execute testing activities and ensure proper data collection, validation, and configuration management
  • Coordinate test events, ensuring readiness of personnel, equipment, and compliance with security, legal, and privacy requirements
  • Collaborate with Systems Engineering and other stakeholders to align T&E activities with program objectives
  • Participate in Integrated Test Teams (ITT) and Working-level Integrated Product Teams (WIPT)
  • Support data authentication and discrepancy reporting processes
  • Evaluate operational effectiveness, suitability, and performance across multiple test methods (e.g., simulation, demonstration, physical testing)
  • Develop evaluation frameworks, metrics, and risk assessments to support decision-making

Additional Responsibilities (Mid-Level / Level 2 Scope):
  • Provide technical guidance and oversight to junior test engineers
  • Review and refine test plans, analysis, and reports prior to submission
  • Coordinate directly with government stakeholders and program leadership
  • Maintain awareness of evolving standards, policies, and best practices in T&E
  • Support task leadership in planning and execution of T&E activities

Required Qualifications
  • Bachelor's degree in Mathematics, Science, Engineering, Statistics, Engineering Management, or related field
    (Additional experience may be substituted for degree requirements)
  • 2-5+ years of experience in Test Engineering or related field supporting programs of similar scope and complexity
  • Knowledge of test and evaluation principles, methodologies, and lifecycle processes
  • Experience with data analysis, statistical methods, and performance evaluation
  • Familiarity with modeling and simulation tools and techniques
  • Ability to develop technical documentation, plans, and reports
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications
  • Experience supporting government or DoD T&E programs
  • Familiarity with acquisition processes and systems engineering integration
  • Experience working in Integrated Product Teams or test organizations
  • Knowledge of data management, instrumentation, and test tools

AEITS, a GTSC company, is proud to be an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex, race, color, creed, national origin, religion, age, marital status, pregnancy, physical, mental or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law. Learn more about your EEO rights as an applicant.
GTSC is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. If you have a disability and require assistance with our online application process, please tell us how we can help by contacting us at
Note: This accessibility is intended for individuals requiring accommodation and should not be used to check the status of your application. Inquiries not specific to requesting accommodation will be discarded.
GTSC participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
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