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Data Engineer Hybrid Jobs (NOW HIRING)

Senior Data Engineer Stack: JavaScript (Node/Lambdas), Python, SQL, Snowflake, Cursor If you are ... Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model.

Senior Data Engineer (Hybrid)

Avon, MN · On-site

$100K - $145K/yr

A DAY IN THE LIFE As a Senior Data Engineer specializing in Data Warehouse and Analytics, you will play a critical role in designing, implementing, and optimizing database solutions to support ...

Senior Data Engineer (Hybrid)

Avon, MN · Hybrid

$100K - $145K/yr

A DAY IN THE LIFE As a Senior Data Engineer specializing in Data Warehouse and Analytics, you will play a critical role in designing, implementing, and optimizing database solutions to support ...

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 ...

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position OverviewThe Data Engineer develops and maintains enterprise data pipelines, cloud-based ... C.)Hybrid work schedule.Our company prioritizes the benefits of flexibility and collaboration ...

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based ... Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.) * Hybrid work schedule. * Our company ...

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 ...

Showing results 41-60

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 Aug 22, 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 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?

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.
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:

Infographic showing various Data Engineer Hybrid job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$130K - $176K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Selective Insurance rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

70th of 311 rated insurance


Job description

About Us
At Selective, we don't just insure uniquely, we employ uniqueness.
Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work® in 2025 for the sixth consecutive year.
Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs.
Overview
"Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time".
Selective Insurance is seeking an energetic and collaborative Data Engineer Team lead to work on data and analytics projects supporting the Claims team within the Information Management group. This group is responsible for technology support of all Data Engineering, Analytics and Reporting for specific business areas. This includes Data Engineering services, Enterprise reporting support and ML Ops Engineering operations for these groups. An ideal candidate will leverage their technical proficiency and leadership competencies to drive the delivery of key objectives.
Responsibilities
  • Lead a high performing team in the delivery of key components and business deliverables.
  • Ensure both on-time successful delivery, and the technical and architectural quality of the solutions.
  • Collaborate with individuals from all areas of the business and IT organizations to develop accurate business requirements and design architectural solutions.
  • Resolve and escalate technical and project delivery issues as needed.
  • Drive process improvements within the team and across the department to improve efficiency and quality.
  • Work directly with the architecture group to coordinate new design patterns and technology.
  • Assist in prioritizing new development projects, enhancement projects for existing systems, and system maintenance requests.
  • Act as a key contributor in planning and estimation of projects
  • Support development of talent within the organization through coaching and mentoring of team members.
  • Ensure design, code, and test plan reviews are conducted as appropriate.

Qualifications
Required:
  • Proven history of owning and taking accountability for leading others to complete complex deliverables.
  • Excellent communication skills
  • 7+ years of experience leading and/or hands-on development of Data Warehouse/DataLakes, Data integration or Data Engineering projects.
  • Experience in ETL and ELT tools (Databricks preferred)
  • Proficient in Data modeling, PySpark and SQL
  • Proficient in modern data architecture
  • Experienced in any of these analytical platforms - PowerBI, AzureML
  • Experience with DataOps or other automation frameworks.

Preferred:
  • SAFe agile work experience or similar agile process
  • College degree in Computer Science or Management Information systems
  • Property Casualty Insurance experience
  • Experience working within Azure ecosystem

Total Rewards
Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page.
The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs.
Pay Range
USD $130,000.00 - USD $176,000.00 /Yr.
Additional Information
Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.
For Massachusetts Applicants
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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