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

Senior Data Engineer

Manhattan, NY ยท On-site

$116K - $158K/yr

Argo Group is a specialty property and casualty insurance brand seeking a Senior Data Engineer to lead the transition to a modern, AI-first data strategy. The role involves designing AI-powered data ...

Senior Data Engineer

Manhattan, NY ยท On-site

$116K - $158K/yr

Senior Data Engineer Location: NYC, NY (Locals or near by only) Duration: 12 Months SKILLS / QUALIFICATIONS โ€ข Bachelor's degree in computer science, Software Engineering, Information Technology ...

Senior Data Engineer

Manhattan, NY ยท On-site

$116K - $158K/yr

Senior Data Engineer Location: NYC, NY (Locals or near by only) Duration: 12 Months SKILLS / QUALIFICATIONS โ€ข Bachelor's degree in computer science, Software Engineering, Information Technology ...

Senior Data Engineer

New York, NY ยท On-site

$116K - $157K/yr

About The Role As a Senior Data Engineer, you will be a crucial member of our Engineering team, driving our mission to leverage data as a strategic asset. You'll work closely with cross-functional ...

Health Care Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

Senior Data Engineer - Position Summary The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data ...

We are seeking an experienced Senior Data Engineer to join our team and help shape the trajectory of these products. Your work will directly impact the accuracy, scalability, and predictive ...

Senior Data Engineer

New York, NY ยท On-site

$180K - $295K/yr

We are seeking an experienced Senior Data Engineer to join our team and help shape the trajectory of these products. Your work will directly impact the accuracy, scalability, and predictive ...

Senior Data Engineer

Princeton, NJ ยท Remote

$111K - $151K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

New

Senior Data Engineer

New York, NY ยท Remote

$158K - $209K/yr

DailyPay is looking for a pragmatic Senior Data Engineer. Based in our New York office in a hybrid capacity and embedded within a distributed team, you will be at the heart of our mission, building ...

We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role ...

Senior Data Engineer

New York, NY ยท On-site

$158K - $209K/yr

DailyPay is looking for a pragmatic Senior Data Engineer. Based in our New York office in a hybrid capacity and embedded within a distributed team, you will be at the heart of our mission, building ...

Sr Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147749 Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN ...

Sr. Data Engineer I

New York, NY ยท On-site

$116K - $157K/yr

Senior Data Engineer I - Scibids Role: Senior Data Engineer I - Scibids Location: New York, NY Hybrid: 3x a week on site Who we are: "DV Scibids" is a global leader in AI-powered digital campaign ...

Sr Data Engineer

New York, NY ยท Hybrid

$125K - $150K/yr

About the Role We're looking for a Senior Data Engineer that is innovative, curious, and collaborative to help evolve the data platform that powers our sell-side media business. This role supports ...

As a Senior Data Engineer II, you will serve as a technical authority and organizational leader - defining architectural standards, driving adoption of emerging technologies, and setting the ...

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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

Argo Group

Manhattan, NY โ€ข On-site

$116K - $158K/yr

Full-time

Posted 23 days ago


Job description

Job Summary:
Argo Group is a specialty property and casualty insurance brand seeking a Senior Data Engineer to lead the transition to a modern, AI-first data strategy. The role involves designing AI-powered data solutions and collaborating with various stakeholders to enhance data products within the P&C insurance sector.
Responsibilities:
โ€ข 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.
โ€ข 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.
โ€ข 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.
โ€ข Establish best practices for data engineering specific to P&C insurance, ensuring adherence to engineering excellence, data quality, governance, and privacy standards.
โ€ข Mentor team members and foster a culture of innovation, continuous improvement, and cross-disciplinary collaboration.
Qualifications:
Required:
โ€ข Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or related field.
โ€ข 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.
โ€ข Solid understanding of property & casualty insurance operations, including actuarial science, claims processing, underwriting, and pricing landscape.
โ€ข Ability to multitask and manage competing priorities in a fast-paced, compliance-driven environment.
โ€ข Experience implementing AI-first strategies and working with modern data platforms (e.g., Snowflake; Databricks, big data, analytics) relevant to P&C insurance.
โ€ข Excellent communication and problem-solving skills, with the ability to translate complex business needs into actionable data solutions.
Preferred:
โ€ข Experience with cloud-based data architectures commonly used in the P&C insurance industry (e.g., Snowflake, AWS).
โ€ข Proficiency in Python, SQL, and industry-standard data engineering tools and frameworks.
โ€ข Focuses on researching, building, and fine-tuning models from scratch or using frameworks.
โ€ข Exposure with Generative AI, Large Language Models (LLMs), LangChain, and vector databases.
โ€ข Experience with other advanced analytics approaches in property & casualty insurance for AI-centric products.
โ€ข Knowledge of predictive modeling, telematics, geospatial analytics, and other advanced analytics applications in property & casualty insurance.
Company:
Argo Group is a U.S.-focused underwriter of specialty insurance products in the property and casualty market. Founded in 1996, the company is headquartered in Elstead, GBR, with a team of 501-1000 employees. The company is currently Late Stage.