Data engineer jobs in the United States (4,750 jobs)

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

Counted Nov 9, 2026

Hiring at a glance

View jobs

Open jobs: 4,750
Employers: 2,036

Advertised starting pay

Average starting payUSD / year: $126,817Across 873 listings
Average starting payUSD / hour: $61.98Across 499 listings

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

Where work happens

Remote: 12%567 listings
Hybrid: 6%302 listings
On-site: 8%374 listings

Not specified: 74% (3,507 listings)

Employers hiring include Eliassen Group (376), Booz Allen Hamilton_United States (69), Insight Global (67).

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

Save this search

Added 17 days ago
Data Engineer
AP MAX INC
Houston
Added 17 days ago
MI
Data Engineer
McAfee, Inc.
Frisco, TX
- $93,370 USD / year
We are looking for a strong Data Engineer with an analytical and Data Science mindset to help transform large-scale product, customer, telemetry, behavioral, and operational data into…
Added 17 days ago
Data Engineer – Onsite | Baytown, Tx
Community Resource Credit Union
Baytown, TX
Reporting to the VP of IT, this position works as a member of the Data Analytics department. This position is responsible for designing, building, and owning the organization's enterprise…
Added 17 days ago
Senior Data Engineer
Advanced Medical Management
Long Beach, CA
The Senior Data Engineer is responsible for the ownership, design, development, optimization, and ongoing support of the organization's enterprise data platform. This role serves as the…
Added 17 days ago
X
Associate Data Engineer
XIFIN
San Diego, CA
- $34.62 USD / hour
Added 17 days ago
Senior Data Engineer
BEACON BEHAVIORAL SUPPORT SERVICES
Austin, TX
…organically and through acquisitions, building a trusted and scalable data foundation is critical to improving clinical care, operations, decision-making, and…
Added 17 days ago
Data Engineer III
National Capitol Contracting LLC
Washington, DC
NCC is seeking a Data Engineer III to join our team. This role will support the customer by leveraging data analytics, business intelligence tools, and cloud-based technologies to improve…
Added 17 days ago
Data Engineer I
Dovenmuehle Mortgage, Inc.
San Francisco, CA
…the United States, is looking for a talented and enthusiastic data engineer. We work exclusively in…
Added 17 days ago
Senior Data Engineer
Fifth Third Bank, N.A.
Cincinnati, OH
The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and…
Added 17 days ago
Senior Data Engineer
The Sherwin-Williams Company
Cleveland, OH
The Senior Data Engineer is responsible for designing, building, and maintaining the systems and infrastructure that enable organizations to collect, store, process, and analyze large…
Added 17 days ago
Data Engineer - 3046636
Apex Systems, Inc.
Cleveland, OH
Job#: 3046636 Job Description: Data Engineer Location: Shaker Heights, Ohio (Hybrid) Role Overview We are seeking a Data Engineer to join an analytics team. This role is focused on building…
Added 17 days ago
Senior Data Engineer - PostgreSQL and MongoDB
CVS Health
Remote, United States
Added 17 days ago
Senior Data Engineer – Agentic AI, Automation, and Data Platforms
General Motors
Austin, TX
This role is for a senior individual contributor in Data Engineering who can independently lead
Added 17 days ago
Data Engineer
RTX Corporation
austin, TX
Added 17 days ago
Senior AWS Python Developer / Pyspark Data Engineer
System One
Columbia, SC
Job Title: Senior AWS Python Developer / PySpark Data Engineer
Added 17 days ago
Senior AWS Python Developer / Pyspark Data Engineer
System One
Birmingham, AL
Job Title: Senior AWS Python Developer / PySpark Data Engineer
Added 17 days ago
Senior AWS Python Developer / Pyspark Data Engineer
System One
Knoxville, TN
Job Title: Senior AWS Python Developer / PySpark Data Engineer
Added 17 days ago
Senior Data Engineer
Fictiv
Schaumburg, IL
Added 17 days ago
Fabric Data Engineer – Data Security & DevOps Focus
Amentum
Remote, United States
Added 17 days ago
Snowflake Data Engineer
Robert Half
Radnor, PA
Description We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable…
Added 17 days ago
Data Engineer - Data Architecture for Data Science & Machine Learning
Penn State University Talent Acquisition
University Park, PA
Added 17 days ago
Senior Software Data Engineer - Quickbooks Capital and Lending
Intuit
Mountain View, CA
Come join the QuickBooks Capital and Lending Platform as a Senior Software Engineer in Data. You will join an innovative and passionate team of engineers using cutting edge technologies…
Added 17 days ago
IG
Data Engineer
Insight Global
Juno Beach, FL
- From $48 USD / hour
- Hands-on experience with Databricks in a data engineering capacity
Added 17 days ago
Sr. Data Engineer
Synectics for Management Decisions Inc
Washington, DC
We're looking for a Sr. Data Engineer with experience with large scale enterprise data platforms for a government agency located in the Washington DC metro area. This is a remote position;…
Added 17 days ago
Data Engineer II - Remote (Raleigh, NC, Dallas, TX, Phoenix, AZ)
First Citizens Bank
Raleigh, NC · UNAVAILABLE, NC
We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven…

McAfee, Inc.

Data Engineer

Frisco, TX, United States

$93,370 USD / year

Apply About employer

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Job details

Pay: $93,370 USD / year
Experience: 5+ years hands-on experience in Data Engineering, with experience building and supporting scalable data pipelines, transformations, and analytical datasets.
Posting language: English
Posted: Oct 23, 2026

Original job description

Role Summary

We are looking for a strong Data Engineer with an analytical and Data Science mindset to help transform large-scale product, customer, telemetry, behavioral, and operational data into trusted datasets, actionable insights, and predictive intelligence.

This role will initially focus on Data Engineering, including building, optimizing, and maintaining scalable data pipelines, transformations, and analytical datasets. With our core data pipelines and datasets increasingly established, the role is expected to quickly expand into Data Science, statistical analysis, machine learning, and predictive modeling.

This is a Hybrid position based in Frisco, TX. We are only considering candidates within a commutable distance to the Frisco office. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office. We are not offering relocation assistance.

Position Details

About the Role

Design, build, optimize, and maintain scalable data pipelines and analytical datasets supporting analytics, machine learning, and AI use cases.
Build reliable data ingestion, transformation, and feature pipelines across large-scale product telemetry, customer, behavioral, feedback, and operational datasets.
Establish strong practices around data quality, observability, reliability, performance, and governance to ensure datasets are trusted and ready for analysis and modeling.
Use Python, SQL, Spark, and modern cloud data technologies to process, transform, analyze, and derive insights from large-scale datasets.
Analyze product telemetry, usage, behavioral, customer feedback, support, and operational datasets to identify trends, patterns, anomalies, friction points, and opportunities.
Develop meaningful features, metrics, cohorts, and customer segments that enable deeper understanding of customer behavior and product performance.
Progressively develop statistical and machine learning models to understand customer behavior, product usage, engagement, friction, and customer outcomes.
Apply techniques such as regression, classification, clustering, segmentation, anomaly detection, time-series analysis, forecasting, and predictive modeling based on the problem being solved.
Develop and test hypotheses using statistical analysis and experimentation to understand the factors driving customer and product outcomes.
Build predictive approaches that help identify emerging customer issues, behavioral changes, product friction, performance issues, and other signals before they become broader problems.
Apply NLP, embeddings, LLMs, and Generative AI where appropriate to extract insights from unstructured customer signals such as feedback, surveys, reviews, and support interactions.
Evaluate analytical and machine learning models using appropriate statistical and ML techniques and ensure conclusions are supported by the underlying data.
Partner closely with Engineering and Product teams to translate ambiguous customer and product questions into measurable data problems, analytical hypotheses, and actionable recommendations.
Move beyond dashboards and descriptive reporting by translating data into insights, predictions, recommendations, and measurable product outcomes.
Develop scalable approaches for operationalizing successful models against production datasets, including model monitoring and retraining where appropriate.
Measure whether insights and resulting product or engineering changes produce the expected impact, creating a continuous learning loop between data, insights, actions, and customer outcomes.

About You

5+ years hands-on experience in Data Engineering, with experience building and supporting scalable data pipelines, transformations, and analytical datasets.
Advanced proficiency in Python and SQL with experience working with large-scale structured and unstructured datasets.
Experience with data processing technologies such as Apache Spark and modern ETL/ELT frameworks.
Experience working with cloud data platforms and services in environments such as AWS, Azure, or GCP.
Strong understanding of data modeling, data quality, data transformations, performance optimization, and building reliable analytical datasets.
Strong analytical and problem-solving mindset, with a demonstrated interest in moving beyond data engineering into Data Science, Machine Learning, and advanced analytics.
Working knowledge of statistics, probability, hypothesis testing, regression, classification, clustering, and predictive modeling.
Hands-on exposure to Data Science and ML libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, or PyTorch.
Ability to move from raw data → hypothesis → analysis/model → conclusion → recommendation → measurable outcome.
Exposure to behavioral analytics, anomaly detection, segmentation, forecasting, predictive analytics, or other applied Data Science techniques is highly desirable.
Familiarity with NLP, LLMs, embeddings, vector databases, RAG, and Generative AI for extracting insights from structured and unstructured datasets is beneficial.
Coursework, certification, specialization, or a degree in Data Science, Machine Learning, Statistics, Applied Mathematics, Computer Science, or a related discipline is preferred.
Demonstrated ability and motivation to rapidly develop deeper Data Science and Machine Learning expertise while continuing to apply strong Data Engineering fundamentals.
Ability to convert loosely defined product or customer questions into measurable analytical problems and communicate findings clearly to both technical and non-technical stakeholders.

Company Overview

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

Company Benefits and Perks

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:

Bonus Program
401k Retirement
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
Paid Parental Leave
Support and Community Involvement
14 Paid Company Holidays
Unlimited Paid Time Off for Exempt Employees
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Pay Range

The anticipated compensation for this position is USD $93,370.00/Yr. - USD $153,400.00/Yr. depending on experience and qualifications.

Job Applicant Privacy Notice

Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.

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