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Senior Data Engineer Jobs in Basking Ridge, NJ (NOW HIRING)

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing ...

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing ...

Senior Data Engineer

New York, NY · On-site

$113K - $160K/yr

Senior Data Engineer AI-First Data Strategy for P&C Insurance Carrier Lead Innovation in Property & Casualty Insurance Data Solutions We are seeking a Senior Data Engineer to spearhead our transition ...

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Need Local as for onsite interview Senior Data Engineer Location: Hybrid 3 days a week onsite Duration: 6 month contract to hire We're looking for a Senior Data Engineer to lead the development of ...

Senior Data Engineer

New York, NY · On-site

$180K - $225K/yr

About the Data Engineering Team Headway is looking for a Senior Data Engineer to help bring us closer to our mission: creating access to affordable, quality mental healthcare across the United States.

Senior Data Engineer

Iselin, NJ · On-site

$107K - $146K/yr

Senior Data Engineer Location: Iselin, NJ ( Need Onsite day 1, Hybrid 3 days from office) Duration: 12 months. Position type; W2 contract We are seeking a skilled Data Engineer with expertise in ...

Senior Data Engineer with MDM

Iselin, NJ · On-site

$107K - $146K/yr

Job title- Senior Data Engineer with MDM Location- Iselin, NJ (Need Onsite day 1, hybrid 3 days from office) . Our Client is seeking a Senior Data Engineer with MDM experience to join our team in ...

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development, you will be working with a team of talented developers responsible for helping create and maintain ...

Senior Data Engineer

New York, NY · On-site

$165K - $230K/yr

Position Summary We're hiring a Senior Data Engineer to own data at truly massive scale. You'll design and run pipelines that clean, enrich, and serve data spanning hundreds of attributes across 80M ...

Senior Data Engineer

Princeton, NJ · Hybrid

$111K - $151K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Senior Data Engineer

Jersey City, NJ · Hybrid

$110K - $150K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Senior Data Engineer

Morristown, NJ · Hybrid

$109K - $148K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Senior Data Engineer to develop processes, methodologies and systems to consolidate and analyze unstructured diverse data sources that generate breakthroughs, actionable insights and solutions that ...

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Senior Data Engineer information

See Basking Ridge, NJ salary details

$83.5K

$130.2K

$180.3K

How much do senior data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for senior data engineer in Basking Ridge, NJ is $130,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $148,400.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost-of-living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives.

What engineers make $300,000 a year?

Senior Data Engineers and other highly experienced engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with advanced skills, certifications, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, reflecting expertise and responsibility levels.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Basking Ridge, NJ? The most popular types of Data Engineer jobs in Basking Ridge, NJ are:
What are popular job titles related to Senior Data Engineer jobs in Basking Ridge, NJ? For Senior Data Engineer jobs in Basking Ridge, NJ, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Basking Ridge, NJ look for? The top searched job categories for Senior Data Engineer jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Senior Data Engineer jobs? Cities near Basking Ridge, NJ with the most Senior Data Engineer job openings:
Infographic showing various Senior Data Engineer job openings in Basking Ridge, NJ as of June 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,188 per year, or $62.6 per hour.
Senior Data Engineer

$113K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


American National Insurance rating

7.1

Company rating: 7.1 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

217th of 262 rated insurance


Job description

Company
Shared Services
Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence.
Job Description
Senior Data Engineer
AI-First Data Strategy for P&C Insurance Carrier
Lead Innovation in Property & Casualty Insurance Data Solutions
We are seeking a Senior Data Engineer to spearhead our transition to a modern, AI-first data strategy tailored to the unique demands of a property & casualty (P&C) insurance carrier.
Responsibilities
  • Lead the design and implementation of AI-powered data products and solutions that address business goals in underwriting, claims, risk management, and customer experience within the P&C insurance sector.
  • Define, develop, and register curated, reusable data products for lines of business such as auto, home, agriculture, commercial, and specialty insurance, enabling rapid insights and novel analytics across teams.
  • Collaborate with data analysts, data scientists, actuaries, underwriters, claims specialists, and business leaders to gather requirements and deliver scalable, secure, and reliable data solutions in compliance with insurance regulations.
  • Establish best practices for data engineering specific to P&C insurance, ensuring adherence to engineering excellence, data quality, governance, and privacy standards.
  • Mentor team members and foster a culture of innovation, continuous improvement, and cross-disciplinary collaboration.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Extensive experience (5+ years) in data engineering, with proven expertise in technical development, data design, and implementation in the insurance industry, preferably within P&C.
  • Solid understanding of property & casualty insurance operations, including actuarial science, claims processing, underwriting, and pricing landscape.
  • Ability to multitask and manage competing priorities in a fast-paced, compliance-driven environment.
  • Experience implementing AI-first strategies and working with modern data platforms (e.g., Snowflake; Databricks, big data, analytics) relevant to P&C insurance.
  • Excellent communication and problem-solving skills, with the ability to translate complex business needs into actionable data solutions.

Preferred Skills
  • Experience with cloud-based data architectures commonly used in the P&C insurance industry (e.g., Snowflake, AWS).
  • Proficiency in Python, SQL, and industry-standard data engineering tools and frameworks.
  • Focuses on researching, building, and fine-tuning models from scratch or using frameworks.
  • Exposure with Generative AI, Large Language Models (LLMs), LangChain, and vector databases.
  • Experience with other advanced analytics approaches in property & casualty insurance for AI-centric products.
  • Knowledge of predictive modeling, telematics, geospatial analytics, and other advanced analytics applications in property & casualty insurance.

Join us to redefine how data empowers property & casualty insurance, accelerating speed to insight and enabling next-generation analytics and solutions powered by AI.
This is a 100% in-office position. Candidates must be able to work on-site at a designated company office during standard business hours.
The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package.
NY Pay Range $113,000 - $160,000
PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.
Notice to Recruitment Agencies:
Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions.
We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics.
The collection of your personal information is subject to our HR Privacy Notice
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

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