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Data Engineer Hybrid Jobs (NOW HIRING)

Cedent

Data Engineer - Hybrid (Newark, NJ)

Newark, NJ · On-site

$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 ...

CEDENT

Data Engineer - Hybrid (Newark, NJ)

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 ...

OSTechnical

Be Seen First

Hybrid Data Engineer

Irvine, CA · On-site

$130K - $160K/yr

Hybrid- working from the Irvine office three days a week. Only local professionals will be considered. No sponsorship available. The Data Engineer is responsible for designing, building, and ...

ARC Group

SQL Data Engineer

Jacksonville, FL

$106K - $127K/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 ...

Brooksource

Associate Data Engineer

Fort Worth, TX · On-site

$32 - $35/hr

Associate Data Engineer Hybrid Role Compensation: $32-$35 per hour ABOUT THE ROLE Our client is seeking a Data Engineer to design, implement, and support analytics solutions that drive actionable ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional candidate that shares our passion for delivering solutions to complex Data ...

Medasource

Associate Data Engineer

Fort Worth, TX · Remote

$32 - $35/hr

Associate Data Engineer Hybrid Role Compensation: $32-$35 per hour ABOUT THE ROLE Our client is seeking a Data Engineer to design, implement, and support analytics solutions that drive actionable ...

Goldenpick Technologies

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Hybrid 3 days/week in Newark, NJ Duration: 6-month contract to hire Overview: We are seeking experienced Data Engineers to join a leading financial services organization. The ideal candidate will ...

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All JobsData Engineer Hybrid Jobs

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:
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 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.

AWS Lead Data Engineer

Ruri Software Technologies LLC

Newark, NJ • On-site

$107K - $141K/yr

Full-time

Posted 4 days ago

Job description

AWS Lead Data Engineer
Hybrid - 3 days from Newark, NJ office
Note: Please submit local candidates who are available for an in-person client interview from Newark (Washington Street) office after the 1st round of client interview is complete. Before presenting the candidate to the client, we will also conduct one round of internal evaluation with our panelists.
2.Job summary : We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Candidate would be required to work from NJ office as part of this role.
3.Experience : 7to10Yrs
4.Required Skills : ,AWS Lambda,AWS RDS,AWS EMR,AWS Glue,Redshift,AWS Athena,AWS Kinesis
5.Nice to have skills :
6.Technology : -Not Applicable
7.Shift : Day
8.Responsibilities :
1. Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS.
2. Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services - Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.
3. Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture.
4. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions.
5. Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses.
6. Develop and enforce standards for data quality, security, and governance.
7. Drive the adoption of DevOps, CI or CD, and infrastructure-as-code practices within the data engineering team.
8. Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy.
9. Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption.
10. Troubleshoot complex data issues and provide technical leadership in problem resolution.
11. 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
12. Extensive hands-on experience with AWS data services -Glue, Redshift, S3, Lambda, EMR or Spark, Kinesis, Athena, RDS, API Gateway, etc. 13. Proficient in programming languages such as Python and SQL, experience with Shell scripting and Scala is a plus.
14. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.
15. Proven experience with ETL or ELT processes, data modeling, and big data frameworks.
16. Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.
17. Experience with DevOps practices, CI or CD pipelines, and infrastructure-as-code tools e.g., CloudFormation, Terraform

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