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Apple Data Engineer Jobs in Washington (NOW HIRING)

Sparks Group

Systems Engineer

Herndon, VA

Develop and document system architectures, requirements, interfaces, CONOPS, use cases, data flows ... Download the Sparks Group mobile app from Apple App Store or Google Play . ----- Sparks Group is an ...

Brivo

Mobile Software Engineer, iOS

Bethesda, MD

$115K - $135K/yr

Implement Clean Architecture (Domain, Data, and Presentation layers) and help lead our platform ... Ensure all features align with Apple's Human Interface Guidelines (HIG) to deliver an elegant ...

Absolute Business Solutions Corp.

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

ABSC is seeking a Secret or TS/SCI-cleared DevOps Engineer to support the NGA Data Modernization ... Annual Health and Wellness Allowance - buy an Apple Watch, a treadmill, or hit the gym on us

Absolute Business Solutions Corp

DevOps Engineer

Aurora, CO · On-site

$53.50 - $73.50/hr

ABSC is seeking a Secret or TS/SCI-cleared DevOps Engineer to support the NGA Data Modernization ... Annual Health and Wellness Allowance buy an Apple Watch, a treadmill, or hit the gym on us * Career ...

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All JobsApple Data Engineer JobsApple Data Engineer Jobs in Washington

Apple Data Engineer information

See Washington salary details

$50.4K

$146.9K

$201K

How much do apple data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for apple data engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apple data engineer?

To thrive as an Apple Data Engineer, you need a strong background in computer science, data modeling, and large-scale data processing, typically supported by a relevant degree and experience with distributed systems. Proficiency with tools like SQL, Python, Spark, Hadoop, and data warehousing solutions, as well as familiarity with Apple’s proprietary technologies, is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate across teams and ensure data integrity. These skills and qualities are crucial for building reliable data pipelines and enabling data-driven decision-making at scale.

What are some common challenges faced by Apple data engineers when managing large-scale data pipelines?

Apple Data Engineers often work with massive volumes of data that require robust, scalable pipeline solutions. One common challenge is ensuring data quality and consistency across distributed systems, especially as requirements and data sources evolve rapidly. Additionally, optimizing data processing for speed and reliability while meeting strict security and privacy standards can be complex. Collaborating closely with data scientists, software engineers, and product teams is essential to align technical solutions with business objectives.

What is an Apple data engineer?

Apple Data Engineers are professionals who design, build, and maintain the data infrastructure and systems used by Apple to support its products and services. They work with large volumes of data, creating pipelines and tools to collect, process, and analyze information efficiently. Their responsibilities often include integrating new data sources, optimizing data storage, and ensuring data quality and security. Apple Data Engineers collaborate with data scientists, analysts, and other engineers to deliver insights and enable data-driven decision-making within the company.

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

AspectApple Data EngineerApple Data Analyst
Required SkillsData pipeline development, SQL, Python, Spark, cloud platformsData interpretation, reporting, SQL, Excel, visualization tools
Work EnvironmentEngineering teams, data infrastructure projectsBusiness teams, data reporting and insights
Common CertificationsCloud certifications, data engineering certificationsData analysis certifications, Tableau, Excel certifications

Apple Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems to support data collection and processing. In contrast, Apple Data Analysts interpret data, create reports, and provide insights to inform business decisions. While both roles require strong SQL skills, Data Engineers emphasize technical infrastructure, whereas Data Analysts focus on data visualization and storytelling.

What are popular job titles related to Apple Data Engineer jobs in Washington? For Apple Data Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Apple Data Engineer jobs in Washington look for? The top searched job categories for Apple Data Engineer jobs in Washington are:
Apple Data Engineer jobs near you
Infographic showing various Apple Data Engineer 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, with an average salary of $146,916 per year, or $70.6 per hour.

Systems Engineer

Sparks Group

Herndon, VA

Full-time

Medical, Life, Retirement

Posted 11 days ago

Job description

Job Summary/Company: A growing technology company supporting defense and intelligence missions is seeking multiple mid-level and senior Systems Engineers. This role will support complex space and geospatial programs through model-based systems engineering, requirements management, architecture development, and verification and validation. Position is onsite in Herndon, VA and requires and active TS/SCI Clearance.

Responsibilities:

  • Develop and document system architectures, requirements, interfaces, CONOPS, use cases, data flows, and testing approaches.
  • Apply MBSE and System V principles throughout the system-development, integration, and verification lifecycle.
  • Support requirements management, V&V activities, engineering reviews, and process improvement within an Agile/Scrum environment.

Qualifications:

  • 5+ years of systems-engineering experience and a bachelor’s degree in a technical discipline; additional experience may substitute for the degree.
  • Hands-on experience with MBSE, requirements management, verification and validation, and Agile/Scrum practices.
  • U.S. citizenship and an active TS/SCI clearance; must hold or be willing to obtain a CI polygraph. Space, aerospace, or geospatial experience is strongly preferred.

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This job is In-Person.

We offer several comprehensive benefits package including health and life insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees.

Download the Sparks Group mobile app from Apple App Store or Google Play.

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Sparks Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, pregnancy, citizenship, family status, genetic information, disability, or protect veteran status.