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Data Engineer Hybrid Jobs (NOW HIRING)

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer - Hybrid 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 ...

Data Engineer - Hybrid

Irving, TX · On-site

$75K - $130K/yr

We are currently seeking a Data Engineer - Hybrid to join our team in Irving , Texas (US-TX) , United States (US) . Data Engineer We are looking for a Data Engineer who is passionate about building ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

We are currently seeking a Data Engineer - Hybrid to join our team in Irving , Texas (US-TX) , United States (US) . Data Engineer We are looking for a Data Engineer who is passionate about building ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

We are currently seeking a Data Engineer - Hybrid to join our team in Irving , Texas (US-TX) , United States (US) . Data Engineer We are looking for a Data Engineer who is passionate about building ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

We are currently seeking a Data Engineer - Hybrid to join our team in Irving , Texas (US-TX) , United States (US) . Data Engineer We are looking for a Data Engineer who is passionate about building ...

New

Senior Data Engineer - Hybrid Genesis10 is currently seeking a Senior Data Engineer - Hybrid for a 6+ month contract to hire opportunity with a Renowned Healthcare Organization located in Rochester ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

Data Engineer (Hybrid)

Austin, TX

$113K - $136K/yr

Data Engineer (Systems Analyst III) Total Required Experience in Years: Minimum 8+ Years Mode of Work: Hybrid (Local Austin Candidates Only) Seeking an experienced Data Engineer to support the ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

Data Engineer 3

Roanoke, TX · Hybrid

$109K - $132K/yr

Data Engineer Hybrid(5 Days in month) Westlake,TX/Durham,NC This will involve designing and developing solutions for a variety of data lake needs using Snowflake as the data store for structured/semi ...

Data Engineer - Hybrid

Newark, NJ · Hybrid

$119K - $143K/yr

Looking for data engineers with 9+ years of experience. 1. Experience developing and deploying application code using SQL, Python, spark. 2. 3 to 5 years' experience developing and deploying data ...

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer (Hybrid) Location: Alpharetta, Georgia (Hybrid Role) Employment Type: Contract-to-Hire (CTH) MOR2JP00017198 We are seeking a highly skilled and experienced Data Engineer to join our ...

Big Data Engineer[Hybrid]

Dallas, TX · On-site

$55.25 - $73/hr

Big Data Engineer Location: Temple Terrace, FL / Irving, Dallas TX / Alpharetta, GA (Hybrid - 3 Days in a Week Onsite) Duration: 12+ Months Interview: Video

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Data Engineer Hybrid information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer hybrid jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data engineer hybrid in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

How does working in a hybrid Data Engineer role impact team collaboration and project delivery?

In a hybrid Data Engineer role, team collaboration often involves a mix of remote and in-person interactions, which can enhance flexibility but also requires clear communication and effective use of collaboration tools. Data Engineers typically coordinate closely with data scientists, analysts, and IT teams to design and maintain data pipelines, regardless of work location. Project delivery may require scheduled on-site meetings for brainstorming or troubleshooting, but much of the individual development work can be completed remotely. Adapting to this environment means being proactive in communication and leveraging project management platforms to ensure alignment and timely delivery.

What is a Data Engineer Hybrid?

A Data Engineer Hybrid is a professional who designs, builds, and manages data infrastructure, and works both on-site and remotely. They are responsible for creating data pipelines, maintaining databases, and ensuring data quality and accessibility for analytics or business needs. The 'hybrid' aspect refers to their flexible work environment, combining office and remote work. Data Engineer Hybrids often collaborate closely with data scientists, analysts, and other IT professionals to enable effective data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Data Engineer Hybrid, and why are they important?

To thrive as a Data Engineer Hybrid, you need strong programming skills (such as Python or Java), expertise in database management, and a solid understanding of data architecture and ETL processes, usually backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), data warehousing tools (such as Snowflake or Redshift), and certifications in big data or cloud technologies are highly valuable. Analytical thinking, problem-solving, and effective communication help you collaborate across teams and translate business needs into technical solutions. These skills are crucial for building scalable, reliable data pipelines that support organizational decision-making and data-driven strategy.
More about Data Engineer Hybrid jobs
What cities are hiring for Data Engineer Hybrid jobs? Cities with the most Data Engineer Hybrid job openings:
What states have the most Data Engineer Hybrid jobs? States with the most job openings for Data Engineer Hybrid jobs include:
Infographic showing various Data Engineer Hybrid job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer - Hybrid

Data Engineer - Hybrid

NTT DATA

Irving, TX • On-site, Remote

$75K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

107th of 204 rated it services


Job description

Data Engineer - Hybrid

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 Data Engineer to join our team in Irving, Texas, United States.

We are looking for a Data Engineer who is passionate about building scalable data systems and enabling high-quality analytics, machine learning, and business intelligence. In this role, you will design modern data pipelines, optimize storage solutions, and collaborate closely with cross-functional teams to deliver reliable, high-impact data infrastructure. If you enjoy solving complex data challenges and want to contribute to a fast-moving engineering environment, this role offers the opportunity to make a meaningful impact.

Responsibilities

  • Design and build robust, scalable data pipelines to ingest structured and unstructured data from diverse sources.
  • Develop and optimize data storage solutions, including relational databases, NoSQL systems, and data lakes.
  • Implement data validation, automated testing, and monitoring to ensure accuracy, reliability, and compliance.
  • Partner with Data Scientists, Product Managers, and Software Engineers to build infrastructure that supports ML models, analytics, and BI dashboards.
  • Participate in feature discussions, help prioritize work, and guide teams toward consensus.
  • Develop prototypes to validate concepts and accelerate solution design.
  • Identify root causes of data issues, assess business impact, and propose effective solutions.
  • Solve complex problems related to data quality, object identity, and error handling.
  • Support MLOps workflows and contribute to model deployment and data integration processes.
  • Work as part of an Agile/Scrum team and participate in related ceremonies.
  • Maintain clear documentation for data models, pipelines, and operational processes.

Qualifications & Requirements

  • 5+ years of overall experience in data engineering or related fields.
  • 3+ years of experience building data pipelines using PySpark, Django, or similar frameworks, with strong proficiency in Python or Java/Scala.
  • 2+ years of advanced SQL experience, including database modeling and query optimization.
  • Hands-on experience with Apache Spark, Kafka, and distributed data processing technologies.
  • Experience deploying data platforms in cloud environments such as AWS, Google Cloud, or Azure.
  • Strong Python experience, including libraries such as NumPy and pandas for data loading and transformation.
  • Experience scheduling and orchestrating workflows using tools like Apache Airflow or dbt.
  • Practical experience with MLOps concepts and supporting ML model lifecycle workflows.
  • Working knowledge of relational and non-relational databases, including data modeling principles.
  • Experience collaborating within Agile/Scrum teams and participating in sprint ceremonies.
  • Working knowledge of Unix/Linux environments.

Pay Transparency

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $75,168-$130,500. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

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 part of NTT Group, which invests over $3 billion each year in R&D.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967