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Data Engineer Hybrid Jobs (NOW HIRING)

Safe-Guard Products International LLC

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer (hybrid- Monday-Thursday onsite) Location: US-GA-Atlanta (Sandy Springs) FLSA : Exempt #Hybrid Job Overview : Safe-Guard's Risk Department is expanding and adding a new Data Engineer ...

Cornerstone

Data Engineer - United States

Dublin, CA

$128.90K - $154.90K/yr

Data Engineer - Hybrid(Dublin, CA Office) We are seeking a talented Data Engineer to sit in our Dublin, CA office(Hybrid). The right candidate has strong communication skills, passion for solving ...

C-4 Analytics

Senior Data Engineer (HYBRID)

Wakefield, MA · On-site

$130K - $160K/yr

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.

Excela Health

SENIOR DATA ENGINEER - HYBRID

Greensburg, PA

$97.50K - $132.50K/yr

By using various data extraction methods across multiple data sources, the Senior Engineer will be responsible for compiling application-ready data models for analytic deliveries. Essential Job ...

Excela Health

SENIOR DATA ENGINEER - HYBRID

Greensburg, PA · On-site

$97.50K - $132.50K/yr

By using various data extraction methods across multiple data sources, the Senior Engineer will be responsible for compiling application-ready data models for analytic deliveries. Essential Job ...

Cedent

Data Engineer - Hybrid (Newark, NJ)

Newark, NJ · On-site

$119.70K - $143.80K/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

$119.70K - $143.80K/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 ...

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How much do data engineer hybrid jobs pay per year?

As of May 30, 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.
Sr. Data Engineer - Hybrid

Sr. Data Engineer - Hybrid

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$106.90K - $145.30K/yr

Full-time

Posted 16 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 259 rated insurance

Job description

Sr Data Engineer - GE07BE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Actuarial Information Services Department's Global Specialty team is looking for a skilled Sr. Data Engineer to join us. Our ideal candidate will leverage deep technical expertise and strong communication skills to deliver both invest and maintenance projects within the Global Specialty portfolio. Our team delivers Global Specialty data to internal business partners. We support Enterprise Wide and Actuarial initiatives by providing expertise in Global Specialty data knowledge. This role is essential for ensuring high quality and timely data reporting to internal business partners.
To excel in this role, you will need technical leadership, exceptional communication skills, experience in data analysis and strong technical abilities to gather required data from various data sources for requirements gathering. You will engage with a diverse array of business partners, including actuarial teams, finance departments and IT partners across the enterprise.
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT) 3 days a week (Tuesday through Thursday).
Responsibilities include but not limited to:
  • Prototype high impact innovations, catering to changing business needs
  • Possesses functional knowledge and skills reflective of a competent practitioner with the ability to deliver on work of highest technical complexity
  • Consults with functional management in the analysis of short and long-range business requirements and recommends innovations which anticipate the future impact of changing business needs
  • Works closely with client management to identify and specify the complex business requirements and processes for diverse development platforms, computing environments (e.g., Cloud, host based, distributed systems, client server), software, hardware, technologies and tools
  • Provides highly technical consulting and leadership in identifying and implementing new uses of information technologies that assist the functional business units in meeting their strategic objectives
  • Reviews the disaster recovery plan to ensure that new systems promote uninterrupted systems operation
  • Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
  • Researches and evaluates alternative solutions and recommends the most efficient and cost effective solution for the systems design
  • Formulates logical statements of business problems and devises, tests and implements efficient, cost effective application program solutions (e.g., codes and/or reuses existing code through the use of program development software alternatives and/or integrates purchased solutions)
  • Prepares charts, tables and diagrams to assist in analyzing problems, utilizing various business, scientific, engineering and mathematical techniques. Analyzes existing system and programming logic to provide more efficient machine operations or to identify difficulties, and revises the logic and procedures involved as necessary
  • Primary technical point of contact for interaction with other cross-functional units and teams.
  • Foster a positive work environment by exemplifying cultural values and encouraging others to promote collaboration, accountability, diversity and continuous improvement.

Qualifications:
  • Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
  • Bachelor's degree in Computer Science or a related discipline and 5 or more years' experience in IT systems analysis and application program development, or an equivalent combination of education and work experience
  • Candidates must be authorized to work in the US without company sponsorship.
  • 5+ years ETL / Data Integration / Big Data / Cloud (AWS) Technologies experience
  • AWS / Big Data Technologies certification preferred
  • 3+ years of Python
  • 3+ years of Linux
  • 2+ years in Snowflake data warehousing, data pipelines and automation.
  • 3 + years in Cloud Data modernization (Ingestion, Curation, Data Domains, Data Products).
  • Experience with version control tools, CI/CD pipeline and DevOps tools like GitHub, Jenkins Nexus and uDeploy.
  • Experience with Artificial Intelligence, AI certifications preferred
  • Strong data warehouse applications knowledge in financial/insurance domain preferred
  • Strong Global Specialty Insurance knowledge preferred
  • Knowledge of data modeling
  • Experience with Big Data Distributed Processing (HDFS, Hive, Spark, PySpark), AWS, Data Analytical languages Python, R preferred
  • Strong critical thinking skills and analytical ability.
  • Proficient in industry standard querying tools.
  • Proven ability to organize and manage multiple priorities in a timeline driven environment.
  • Knowledge or familiarity with dimensional database structure.
  • Excellent facilitation, requirements elicitation and data analysis skills.
  • Experience with mentoring and leading other Data Engineers.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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