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 1, 2026

Hiring at a glance

View jobs

Open jobs: 4,376
Employers: 1,971

Advertised starting pay

Average starting payUSD / year: $126,020Across 787 listings
Average starting payUSD / hour: $60.78Across 465 listings

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

Where work happens

Remote: 13%554 listings
Hybrid: 6%281 listings
On-site: 8%337 listings

Not specified: 73% (3,204 listings)

Employers hiring include Eliassen Group (301), Booz Allen Hamilton_United States (75), Insight Global (69).

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 6 days ago
Senior Data Engineer
University of Michigan
Remote, United States
Added 6 days ago
MC
Data Engineer III
McDonald's Corporation
Chicago, IL
- $138,207 to $172,758 USD / year
Added 6 days ago
Data Engineer
Builders Insurance Group, Inc.
Atlanta, GA
Added 6 days ago
Data Engineer Lead
Builders Insurance Group, Inc.
Atlanta, GA
Added 6 days ago
Cloud Data Engineer II (Databricks)
American Association of Insurance Services
Remote, United States
The Cloud Data Engineer II independently designs, builds, and supports AAIS's clou
Added 6 days ago
Cloud Data Engineer II (Power BI)
American Association of Insurance Services
Remote, United States
The Cloud Data Engineer II independently designs, builds, and supports AAIS's clou
Added 6 days ago
Data Engineer
Curant Health Inc.
Smyrna, GA
…patient care coordinator teams, the provision of SMART patient data and medication adherence assistance. Our client teams complement our partners’ clinical care teams, and our high-quality…
Added 6 days ago
Senior Data Engineer
Fortegra
Jacksonville, FL
We are looking for a Senior Data Engineer to join our technology organization. As a Senior Data Engineer, you will lead strategies for modernizing and remediating legacy data platforms by…
Added 6 days ago
Senior Data Engineer
Bank of America, National Association
United States
Added 6 days ago
Sr. Data Engineer & Scientist
Robertson, Anschutz, Schneid, Crane & Partners, PLLC
Boca Raton, FL
The Senior Data Engineer & Scientist is a highly skilled technical professional responsible for designing, building, and maintaining enterprise-scale data platforms, data pipelines,…
Added 6 days ago
Senior Data Engineer II
Raydar
Remote, United States
We are hiring a Senior Data Engineer II to own end-to-end data-pipeline architecture across a lean, high-impac
Added 6 days ago
Data Engineer
Raydar
New York, NY
Raydar is recruiting for this role on behalf of our client. Own the end-to-end data engineering work behind a large analytics and machine learning platform, from bringing in raw records to…
Added 6 days ago
Data Engineer
Raydar
Remote, United States
You will own the data pipelines that ingest, normalize, and enrich caselaw and docket records. Legal source data is messy, often arriving as scanned filings or semi-structured documents.…
Added 6 days ago
Staff Data Engineer
Webflow
Remote, United States
We’re looking for a Staff Data Engineer who can take ownership of and drive key initiatives across Data Platform Engineering, including the data lake, event instrumentation, data quali
Added 6 days ago
FDR Data Engineer US1
DataSQRL
United States
DataSQRL is hiring a Forward Deployed Data Engineer to embed with one of our enterprise customers and own the success of their data implementation end to end.
Added 6 days ago
CS
Data Engineer (w/ active Secret)
Critical Solutions
Norfolk, VA
- $87,000 to $112,000 USD / year
Critical Solutions is seeking a Data Engineer to support our federal customer.
Added 6 days ago
Data Engineer (On-site)
Gonzaba Medical Group
San Antonio, TX
…and maintaining scalable ingestion frameworks across modern data tools. The ideal candidate should be highly motivated and passionate about creating data pipelines and models to help solve…
Added 6 days ago
Lead Data Engineer
Emory University
Atlanta, GA
The Lead Data Engineer provides technical leadership and hands-on engineering expertise for the development and operation of Emory University’s Unified Data Platform (UDP), built on…
Added 6 days ago
Senior Cloud Data Engineer
Trideum Corporation
Redstone Arsenal, AL
Added 6 days ago
Data Engineer
Trideum Corporation
Fort Belvoir, VA
Added 6 days ago
Data Engineer/Data Architect
The Marlin Alliance
San Diego, CA
The Marlin Alliance is seeking a forward-thinking Data Engineer/Data Architect in San Diego, CA to provide client support to our Navy client. This is an on-site role and applicants must…
Added 6 days ago
Senior Data Engineer (OpAI)
The Marlin Alliance
San Diego, CA
The Marlin Alliance, Inc. is seeking a Senior Data Engineer (OpAI) to design, build, and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges.…
Added 6 days ago
Junior Data Engineer
The Marlin Alliance
San Diego, CA
The Marlin Alliance is seeking a dedicated Data Engineer to support our Navy client. The successful candidate will support a DoD client program by designing, building, and maintaining data…
Added 6 days ago
AI Data Engineer
Flexjet
Cleveland, OH
Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data…
Added 6 days ago
Lead Data Engineer
Redwood Logistics
Remote, United States
Leveraging a comprehensive range of services, data-centric network solution

Apple

Senior Data Engineer

Cupertino, CA, United States

The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

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Job details

Pay: The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Posting language: English
Posted: Oct 26, 2026

Original job description

Summary At Apple, we find joy in solving hard problems, and we are motivated by curiosity to keep making our products better. Apple Services Engineering's Device Compute Analytics team provides the data foundation for Apple's internal device cloud, which supports all of Apple's hardware, software, and services. Our work helps Apple ship entirely new products and features, and gives teams the data to keep existing ones meeting a high standard. We are looking for a senior data engineer to own our data lakehouse: turning a stream of device and compute events into data that is accurate, timely, and easy to explore. You will build the pipelines and table designs that power forecasting, capacity planning, and fair cross-charging across the organization, and help us spot issues before an internal customer ever notices them. Join a high-performing team, work with colleagues across Apple, and make data that people across the company rely on.

Description You will own the data lakehouse that turns raw device and compute events into reliable, fast-to-query tables. You will build and run the Spark pipelines, design the tables that dashboards query through Trino, and put in place the checks that keep the data accurate and timely. Over time, you will also take over the ingestion of those events from Kafka. Our services publish events describing device lifecycle, job and session activity, provisioning, and failures, and those events land in Iceberg. You will turn them into datasets people can trust and build on, working with a data analyst and a full-stack engineer (who builds the dashboards) on the team, as well as application engineers and teams across Apple.

Responsibilities

Build and run Spark streaming and batch pipelines in Scala or Java, including backfills when data issues are found or new transformations are added for past events Design lakehouse tables and layouts (partitioning, sort order, compaction, schema evolution) so dashboards can query Iceberg quickly through Trino Validate incoming events, handle schema changes, and route malformed or unknown events to a dead-letter path for review and replay Define and enforce data quality with a data analyst: keep schemas and data contracts under version control with compatibility checks in CI, monitor freshness, completeness, duplicates, and late arrivals, and alert the right owner Partner with the full-stack engineer who builds the dashboards, designing the tables and queries behind them and using AI coding tools to move faster while checking the results Take over the Apache Flink job that ingests events from Kafka into Iceberg Improve performance and cost by right-sizing jobs, fixing skew and small-file problems, and tuning queries and storage Join the on-call rotation for Data Lakehouse incidents, review code and designs, and mentor other engineers

Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or a related field 7+ years of professional data engineering experience building production data pipelines at scale, including diagnosing and improving the performance of data jobs and queries, or equivalent advanced degree plus experience Production experience with Apache Spark, including batch and streaming (Structured Streaming) pipelines Strong data modeling skills, with experience designing analytics schemas on Apache Iceberg or comparable lakehouse table formats Proficiency in Java or Scala, and strong SQL Experience building data quality checks and monitoring for production pipelines, including freshness and completeness alerting and reconciliation between source and derived data Productive use of AI coding tools in real delivery, with the discipline to validate generated code and queries Excellent communication and critical thinking skills in a team environment

Preferred Qualifications Production experience with Apache Kafka as a streaming source Production experience with Apache Flink, including the Iceberg sink, exactly-once delivery, and stateful jobs on Kubernetes Experience with data contracts and schema management as code (for example schema registries or dbt model contracts) Experience tuning tables and queries for a distributed SQL engine such as Trino Experience with workflow orchestration and Python automation Experience building dashboards or data applications that put data in front of users, with attention to visual design Experience owning the design of a data platform or pipeline, not just implementing it Experience mentoring engineers and leading cost or reliability improvements

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

EEO Statement 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. Learn more about your EEO rights as an applicant

Accessibility At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline Apple accepts applications to this posting on an ongoing basis.

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More about this job

Skills

Apache Kafka
Apache Spark
Scala
Oracle Java
Computer science
Data engineering
Data modelling
SQL
Statistical quality control
Communication skills
Critical thinking
Kubernetes
dbt
Workflow
Python
Graphic design
Coaching

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