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Data Engineer Hybrid Jobs (NOW HIRING)

ARC Group

SQL Data Engineer

Jacksonville, FL

$106.10K - $127.40K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL Data Engineer! This position is a hybrid position located in Jacksonville, FL, working 2-3 days ...

NTT DATA Services

Data Engineer (Onsite Hybrid)

Charlotte, NC · On-site +1

$112.60K - $135.30K/yr

We are currently seeking a Data Engineer (Onsite Hybrid) to join our team in Charlotte, North Carolina (US-NC), United States (US). Job Responsibilities: * Develop, maintain, and optimize AWS Glue ET ...

NTT DATA Services

Data Engineer (Onsite Hybrid)

Charlotte, NC · On-site

$112.60K - $135.30K/yr

We are currently seeking a Data Engineer (Onsite Hybrid) to join our team in Charlotte, North Carolina (US-NC), United States (US). Job Responsibilities: * Develop, maintain, and optimize AWS Glue ET ...

NTT DATA Services

Data Engineer (Onsite Hybrid)

Charlotte, NC · On-site +1

$111.80K - $134.30K/yr

We are currently seeking a Data Engineer (Onsite Hybrid) to join our team in Charlotte, North Carolina (US-NC), United States (US). Job Responsibilities: * Develop, maintain, and optimize AWS Glue ET ...

Cornerstone OnDemand

Data Engineer - United States

Dublin, CA · On-site

$128.90K - $154.90K/yr

We're looking for a Data Engineer - United States This role is Hybrid, Dublin Office Data Engineer - Hybrid(Dublin, CA Office) We are seeking a talented Data Engineer to sit in our Dublin, CA office ...

Pantheon Data

Data Engineer

Falls Church, VA · On-site

$122.10K - $146.70K/yr

The Data Engineer must be able to communicate clearly with both technical peers and non-technical ... Hybrid - 7700 Arlington Boulevard, Suite 5101, Falls Church, VA, 22042 * Our company prioritizes ...

Pantheon Data

Data Engineer

Falls Church, VA · On-site

$122.10K - $146.70K/yr

The Data Engineer must be able to communicate clearly with both technical peers and non-technical ... Hybrid - 7700 Arlington Boulevard, Suite 5101, Falls Church, VA, 22042 * Our company prioritizes ...

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Data Engineer Hybrid information

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$44.5K

$129.7K

$177.5K

How much do data engineer hybrid jobs pay per year?

As of May 31, 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.

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.

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.
More about Data Engineer Hybrid jobs
What cities are hiring for Data Engineer Hybrid jobs? Cities with the most Data Engineer Hybrid job openings:
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What job categories do people searching Data Engineer Hybrid jobs look for? The top searched job categories for Data Engineer Hybrid jobs are:
Data Engineer Hybrid jobs near you
Infographic showing various Data Engineer Hybrid job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, 38% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Integration Engineer (hybrid)

Senior Data Integration Engineer (hybrid)

Vitaver & Associates, Inc.

Austin, TX • Hybrid

Other

Posted 4 days ago

Job description

14646 - Senior Data Integration Engineer (hybrid) - Austin, TX
Start Date:ASAP
Type:Temporary Project
Estimated Duration:12 months with possible extensions
Work Setting:Hybrid, 2 days remote with 3 days (Tues & Wed & Fri) required to be onsite at the location listed above.
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Required:
Experience with Developing mappings and workflows to automate ETL processes using Informatica Power Center or IICS (8 years).
Experience with Acquiring and integrating data from multiple data sources/technologies using Informatica Power Center or IICS for use by a Tableau data visualization object, including Oracle, SQL Server, Excel, Access, and Adobe PDF (8 years).
Experience with Designing and developing complex Snowflake SQL scripts that are fast and efficient (8 years).
Experience with as a system analyst for a data analytics, performance management system, or data warehousing project (8 years).
Experience with Technical writing and diagramming, including proficiency with modeling and mapping tools (e.g., Visio, Erwin), Microsoft Office Suite (Word, Excel, PowerPoint), and MS Project (8 years).
Experience with Planning and delivering software platforms used across multiple products and organizational units (8 years).
Experience with Writing well-designed, testable, efficient code using best software development practices (8 years).
Preferred:
Excellent oral and written communication skills (6 years).
Effectively manage multiple responsibilities, prioritize conflicting assignments, and switch quickly between assignments, as required (6 years).
Experience with Agile sprint team participation (4 years).
Experience with security principles and how they apply to healthcare data (4 years).
Experience with Software components for a performance metrics data visualization or business intelligence environment (4 years).
Bachelor's degree in Computer Science, Information Systems, or Business or equivalent experience (4 years).
Experience with Healthcare Industry experience (4 years).
Experience with an HHS agency (4 years).
Experience with Working with PII or PHI data (4 years).
Experience with Designing and developing scripts using Python (4 years).
Experience with JIRA software (4 years).
Experience with Web Services (REST, SOAP, etc.) (2 years).
Experience with Designing and developing code using Java and JavaScript (2 years).
Experience with Developing CI/CD pipelines with GitHub and Git Actions (2 years).
Experience with as a MuleSoft developer (2 years).
Experience with Developing using AI tools such as Snowflake Cortex and Intelligence, and/or Informatica Claire (2 years).
Responsibilities:
Fill the role of a technical leader, leading an agile development team through a project.
Data acquisition from a variety of data sources for multiple uses.
Develop complex SQL scripts to transform source data to fit into a dimensional model, then create views and materialized views in Oracle.
Develop automation with Informatica Power Center/IICS to pull data from external data sources and transform it to fit into a dimensional model.
Collaborate with other members of the Data Engineering Team on the design and implementation of an optimal data design.
Verification and validation of SQL scripts, Informatica automation, and database views.
Develop automated means of performing verification and validation.

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