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Apple Data Engineer Jobs in Washington (NOW HIRING)

... and Apple iOS) and server-side solutions • Patterns and best-practices for multi-tiered ... Web and Mobile Apps, Databases, Integration, Developer Tools SQL, NoSQL, Neo4j Graph, Triple Store ...

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results ... Strong experience supporting enterprise systems engineering, endpoint technologies, or Apple ...

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results ... Strong experience supporting enterprise systems engineering, endpoint technologies, or Apple ...

Write and execute data queries using SQL, Python, or other data analysis programming languages ... Download the Sparks Group mobile app from Apple App Store or Google Play . ----- Sparks Group is an ...

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results ... Strong experience supporting enterprise systems engineering, endpoint technologies, or Apple ...

Develop prompt engineering strategies and retrieval-augmented generation (RAG) systems to improve ... Download the Sparks Group mobile app from Apple App Store or Google Play . ----- Sparks Group is an ...

OCTO Senior iOS Developer

Washington, DC · On-site

$68 - $88.25/hr

... Apple Wallet within the DMV modernization and digital identity ecosystem. To address these ... secure data contracts, and identity-based authentication flows. • Perform in-depth ...

Showing results 21-40

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 10, 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:
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.

Software Engineer, Data Infrastructure & Acquisition - Alexandria, VA, USA

Speechify

Alexandria, VA • On-site

$122K - $147K/yr

Full-time

Re-posted 10 hours ago


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.