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 3 days ago
EG
Data Engineer
Eliassen Group
Springfield, IL
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Concord, NH
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Jackson, MS
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Columbia, SC
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Honolulu, HI
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Lincoln, NE
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
Sr Data Engineer
Baker Tilly Advisory Group, LP
United States
Added 3 days ago
EG
Data Engineer
Eliassen Group
Sacramento, CA
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
RH
Data Engineer
Robert Half
Remote, United States
- $47.5 to $55 USD / hour
We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data…
Added 3 days ago
Senior Data Engineer
D.R. Horton America's Builder
Arlington, TX
Added 3 days ago
IG
Data Engineer
Insight Global
Smyrna, GA
- From $59 USD / hour
Strong knowledge of data modeling, schema design, and database optimization
Added 3 days ago
Data Engineer II, AWS Analytics Engineering
Amazon Development Center U.S., Inc.
Seattle, WA
We are seeking a talented Data Engineer to join our EC2 + EBS + Networking Product BI team. You will own end-to-end analytics for one or more Compute service areas - building and monitoring…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Pierre, SD
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
Internship/Co-Op: Data Engineer
ASML US, LLC. (US01)
San Diego, CA
As a Data Engineer Co-Op at ASML, you will help develop data pipelines and data products that transform laser-machine and enterprise data into trusted, usable information.
Added 3 days ago
RU
Data Engineer
Randstad USA
Arlington, VA
- $48 to $52 USD / hour
Seeking an experienced Data Engineer to support enterprise data governance, integration, and analytics initiatives. This role combines hands-on pipeline engineering with metadata…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Helena, MT
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Providence, RI
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Bismarck, ND
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 3 days ago
Senior Data Engineer
RSM US LLP
United States
Added 3 days ago
Data Engineer (junior career)
Lockheed Martin
Fort Worth, TX · Marietta, GA · Littleton, CO · Palmdale, CA · Fort Worth · Marietta · Littleton · Palmdale
As an AI Data Engineer, you'll architect and deliver data solutions that fuel AI/ML innovation across the program. Working in classified facilities, you'll build the pipelines, data
Added 3 days ago
Data Engineer
Eli Lilly and Company
United States
Added 3 days ago
Data Engineer, Apple Ads
Apple
Austin, TX
Added 3 days ago
T
Data Engineer
TEKsystems
Sunnyvale, CA
- $75 to $80 USD / hour
DescriptionResponsibilitiesArchitect, construct, and maintain robust, scalable data pipelines and complex ETL workflows.Manage and optimize data models within modern Data Lakes and cloud…
Added 3 days ago
GM
Data Engineer
Grand Mental Health
Remote, United States
- $100,000 to $105,000 USD / year
Under direct supervision of the Director of Clinical Informatics, the primary responsibility of the Data Engineer is to contribute to the development and maintenance of the electronic…
Added 3 days ago
EG
Data Engineer
Eliassen Group
Boston, MA
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…

NTT DATA Services

Senior Data Engineer

Charlotte, NC, United States

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Applications open in a new tab.

Job details

Apply by: Nov 17, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Req ID: 395813

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Data Engineer to join our team in Charlotte, North Carolina (US-NC), United States (US). Job Description – Senior Data Engineer (Databricks / AI Document Processing / Ontology)

Day-to-Day Job Duties: (What this person will do on a daily/weekly basis)

Design, develop, and optimize scalable data pipelines using Databricks, Python, PySpark, and SQL.
Build document ingestion, classification, extraction, validation, and transformation pipelines for PDFs, emails, attachments, Excel/XLSX files, insurance applications, Statements of Values (SOVs), and other business documents.
Integrate LLMs and AI models into data-processing workflows to extract structured information from unstructured and semi-structured documents.
Troubleshoot false positives, incorrect metadata, and inaccurate field values generated by LLM-based extraction pipelines.
Implement document classification, source-specific extraction rules, data validation, reconciliation, and quality-control mechanisms.
Transform extracted information into standardized JSON structures for downstream applications and underwriting workflows.
Design and implement ontology-based data models representing insurance entities, business concepts, and relationships.
Map extracted document attributes to standardized ontology concepts and metadata structures.
Optimize the processing of large and complex Excel/XLSX and SOV files, addressing performance, scalability, and concurrency challenges.
Implement reliable data persistence using PostgreSQL, Lakebase, or related database technologies.
Develop and maintain APIs and data products to support downstream application integration.
Collaborate with brokerage, underwriting, AI, and data engineering teams to align extraction outputs with business requirements.
Monitor production pipelines, troubleshoot data-processing issues, and continuously improve reliability, performance, and data quality.

Basic Qualifications: (What are the skills required for this job with minimum years of experience on each)

Minimum 7+ years of experience in data engineering, software development, or production data pipeline development.
Minimum 4+ years of hands-on experience with Databricks and scalable data-processing pipelines.
Minimum 5+ years of experience with Python, PySpark, and SQL.
Minimum 3+ years of experience processing unstructured and semi-structured data, including PDFs, emails, Excel files, JSON, and business documents.
Minimum 2+ years of experience integrating LLMs or AI models into document-processing or data-extraction pipelines.
Minimum 3+ years of experience implementing structured data extraction, document classification, validation, reconciliation, and data-quality controls.
Strong understanding of data modeling, schemas, metadata, entity relationships, and ontology or semantic modeling concepts.
Minimum 2+ years of experience designing JSON outputs, APIs, and data products for downstream application consumption.
Minimum 2+ years of experience with PostgreSQL, Lakebase, or similar relational database technologies.
Minimum 2+ years of experience troubleshooting production performance, scalability, concurrency, and data-processing issues.
Strong understanding of cloud-based data architectures, distributed processing, and pipeline optimization.
Strong analytical, problem-solving, communication, and cross-functional collaboration skills.

Travel: NA

Degree:

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field, or equivalent professional experience.

Nice to Have:

Experience in insurance, commercial insurance, brokerage, underwriting, or risk management.
Experience processing insurance applications, Statements of Values (SOVs), policy documents, and underwriting submissions.
Experience with LLM frameworks, prompt engineering, structured outputs, and AI evaluation techniques.
Experience building custom ontologies, knowledge graphs, or semantic data layers.
Experience with document AI, OCR, information extraction, and document intelligence platforms.
Experience with Delta Lake, Lakehouse architecture, Databricks Workflows, and Delta Live Tables.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience optimizing large-scale document ingestion and distributed processing workloads

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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More about this job

Skills

Databricks
Python
PySpark
SQL
Process data
Troubleshoot
Quality control
Underwriting
Data models
PostgreSQL
Data engineering
Software development
Microsoft Excel
Data modelling
Troubleshooting
Problem solving
Communication skills
Collaboration
Computer science
Computer technology
Risk management
OCR
Information extraction
AWS
Microsoft Azure
Google Cloud

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