Data engineer jobs in the United States

Find data engineer jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 4,436
Employers: 1,997

Advertised starting pay

Average starting payUSD / year: $126,134Across 789 listings
Average starting payUSD / hour: $60.88Across 464 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 13%561 listings
Hybrid: 6%284 listings
On-site: 8%337 listings

Not specified: 73% (3,254 listings)

Employers hiring include Eliassen Group (295), Booz Allen Hamilton_United States (75), Insight Global (68).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in the United States

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Added 13 days ago
AI and Data Engineer
Accenture Federal Services
Tampa, FL
Added 13 days ago
GD
Senior Data Engineer (Analytics & Applied AI)
Guidehouse Digital, LLC
Remote, United States
- $113,000 to $188,000 USD / year
We build production data platforms that turn large, complex datasets into reliable analytics and applications. We are looking for a Senior Data Engineer who is equally strong as a software…
Added 13 days ago
Analytics Data Engineer
Saint Francis Hospital, Inc.
United States
Job Summary: The Analytics Data Engineer queries, builds and supports the data infrastructure that powers innovative neuroscience and mental health research. This role works with…
Added 13 days ago
Data Engineer II
Lewis Energy Group
San Antonio, TX
Added 13 days ago
Data Scientists/Data Engineer/ Business Intelligence Analysts
Think Big Solutions Inc
Damascus, MD
Perform data visualization using PowerBI, handle large-scale Spark batch/streaming datasets and use Pandas/PySpark, Azure Functions, Cosmos DB, Azure Blob, SQL Server, NoSQL, Data Lake, and…
Added 13 days ago
Senior Full-Stack BI Architect / Fabric Data Engineer
Proactive Technology Management
Ferndale, MI
At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge…
Added 13 days ago
Senior Data Engineer
RxSense
Remote, United States
Added 13 days ago
2
Remote | Data Engineer - $140,000–$180,000/year
24-MAG
New York · New York, NY
- $140,000 to $180,000 USD / year
We are sharing a full-time opportunity for an experienced Data Engineer with strong expertise in Python, SQL, ETL pipelines, data modelling, exploratory data analysis, and scalable…
Added 13 days ago
W
(USA) Data Engineer III
Walmart
BENTONVILLE, AR
- $90,000 to $180,000 USD / year
As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. Leveraging expertise…
Added 13 days ago
Senior Data Engineer
PrePass
Phoenix, AZ
Added 13 days ago
Data Engineer - Remote in Germany
Synera GmbH
Remote, United States
…our own company the same way we build our product: automated, data-driven, and…
Added 13 days ago
Data Engineer III, Hiring Lab
Indeed
Louisville, KY
Hiring Lab Data Engineers build and maintain the data pipelines, infrastructure, and production systems that
Added 13 days ago
Principal, Data Engineer
Fidelity Technology Group, LLC
Westlake, TX
…performance, designing database applications, developing physical data models, and supporting application development and engineering efforts. Coordinates replication projects for moving…
Added 13 days ago
Database Architects/Data Engineer
Discovery Analytics Inc
Alpharetta, GA
Develop and support data pipelines for ingestion and transformation of healthcare data. Utilize Python and SQL to implement business logic and resolve data issues. Build and optimize…
Added 13 days ago
Data Engineer III, Hiring Lab
Indeed
Atlanta, GA
Hiring Lab Data Engineers build and maintain the data pipelines, infrastructure, and production systems that
Added 13 days ago
Senior Data Engineer (hybrid, W2 only)
System One
Atlanta, GA
The DMAC EDAV Team is seeking a Senior Data Engineer.
Added 13 days ago
Data Engineer, Crew Data Products
Delta Air Lines, Inc.
Atlanta, GA
Added 13 days ago
Data Engineer III, Hiring Lab
Indeed
Baton Rouge, LA
Hiring Lab Data Engineers build and maintain the data pipelines, infrastructure, and production systems that
Added 13 days ago
Senior Data Engineer
Apex Systems
Lemont, IL
Added 13 days ago
Data Scientists/Data Engineer
Excellerate Education Solutions inc
Palatine, IL
Added 13 days ago
Data Engineer III, Hiring Lab
Indeed
Chicago, IL
Hiring Lab Data Engineers build and maintain the data pipelines, infrastructure, and production systems that
Added 13 days ago
Data Engineer
Caterpillar, Inc.
Peoria, IL · Chicago, IL
Added 13 days ago
Enterprise Data Engineer
Jenner & Block LLP
Chicago, IL
Added 13 days ago
Data Engineer III, Hiring Lab
Indeed
Portland, ME
Hiring Lab Data Engineers build and maintain the data pipelines, infrastructure, and production systems that
Added 13 days ago
Data Engineer III, Hiring Lab
Indeed
Des Moines, IA
Hiring Lab Data Engineers build and maintain the data pipelines, infrastructure, and production systems that

Apple

Platform & Data Engineer

Cupertino, CA, United States

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Applications open in a new tab.

Job details

Experience: 1+ years of professional software engineering experience, including internships or co-ops.
Posting language: English
Posted: Oct 12, 2026

Original job description

Weekly Hours: 40

Role Number: 200688542-0836

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

We are looking for a Platform & Data Engineer to own the systems that thousands of internal engineers rely on every day. This is a rare, broad role: you will operate at the intersection of Kubernetes platform engineering and large-scale data engineering, owning both the compute platform our internal tools run on and the data layer that makes them useful. You will not just keep these systems healthy - you will build the products and interfaces that let other teams move faster. If you are excited by ambiguity, take real ownership, and want your work to be felt across the company, we'd love to talk.

Description

You will be a foundational member of a small, high-trust team that builds and operates the platform behind Apple's internal automation and testing infrastructure. The role spans two deeply connected domains, and we expect genuine strength in both.

On the platform side, you will lead the scalability and debuggability of our Kubernetes footprint at Apple-internal scale. You will take ownership of our observability stack - currently maintained on a volunteer basis - and put it on durable footing, including end-to-end error tracking and log aggregation across services. You will design and build internal-tools APIs that hold up under real load, partnering with teams on versioning, multi-tenancy, authentication, and capacity planning. You will also shape the adopter-facing surface of the platform: today that means working closely with the teams who depend on us; over time, as patterns stabilize, it means collaborating on the SDK and self-service experience that lets the next wave of teams onboard themselves.

On the data side, you will lead our MongoDB estate ingesting millions of records per day and growing. You will be responsible for query optimization, indexing strategy, and sharding as the dataset scales, working with data teams on these decisions. You will own and improve the ETL pipelines that feed it. And - this is the part that distinguishes a builder from a DBA - you will design and ship the self-service query layer that lets client teams answer their own aggregation questions instead of routing one-off requests through chat. You will be designing user-facing tooling, so product instinct matters as much as performance tuning.

We have early building blocks in place, including MCP wrappers you can build on, and we are genuinely interested in candidates who have explored query builders, query templates, or LLM-assisted query construction. We care about people who are unusually thoughtful about the systems they build, who default to ownership, and who can move between a deep performance problem and a user-facing design decision in the same afternoon.

Minimum Qualifications

1+ years of professional software engineering experience, including internships or co-ops.
Proficiency in Python, and experience with at least one other language (such as Go, Java, or C++).
Experience with relational or document databases and writing non-trivial queries.
Experience building and shipping a backend service or API.
Strong computer science fundamentals, including operating systems, databases, and distributed systems.
Willingness to learn Kubernetes and MongoDB in a production environment.
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Preferred Qualifications

Prior experience with Apple internal data platforms or tooling, including through an internship.
Hands-on exposure to Kubernetes or cloud platforms (AWS, GCP), through work, coursework, or personal projects.
Experience with MongoDB, including the aggregation pipeline.
Prior experience building self-service data products - query builders, query templates, or interactive query interfaces that non-experts can use safely.
Exposure to LLM-assisted query construction or tooling built on Model Context Protocol (MCP) or similar wrappers.
Experience building observability or monitoring tooling, such as tracking latency, resource contention, or error rates.
Experience working in a small team where ownership is broad and the line between “platform” and “product” is intentionally blurry.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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More about this job

Skills

Kubernetes
MongoDB
Data engineering
Python
Go
Oracle Java
C++
Computer science
AWS
Google Cloud

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