Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows. Responsibilities : • Write ...
Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows. Responsibilities : • Write ...
Data Engineer
$128K - $154K/yr
We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...
Data Engineer
$128K - $154K/yr
We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...
Data Engineer
Secaucus, NJ · Remote
$117K - $140K/yr
Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:
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Data Engineer
Secaucus, NJ · Remote
$117K - $140K/yr
Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:
Data Engineer
$128K - $154K/yr
Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...
Data Engineer
$128K - $154K/yr
Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...
Data Engineer
Secaucus, NJ · Remote
$117K - $140K/yr
Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:
Quick apply
Data Engineer
Secaucus, NJ · Remote
$117K - $140K/yr
Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:
Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...
Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...
Data Engineer
New York, NY · Hybrid
$150K - $183K/yr
They are currently expanding their Data Engineering team based in New York City, NY. This role is hybrid on-site in the NYC Headquarters. Qualified candidates will have 3+ years of professional hands ...
Quick apply
Data Engineer
New York, NY · Hybrid
$150K - $183K/yr
They are currently expanding their Data Engineering team based in New York City, NY. This role is hybrid on-site in the NYC Headquarters. Qualified candidates will have 3+ years of professional hands ...
Data Engineer
Manhattan, NY · On-site
$126K - $151K/yr
Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.
Data Engineer
Manhattan, NY · On-site
$126K - $151K/yr
Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.
Data Engineer
$125K - $150K/yr
Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...
Data Engineer
$125K - $150K/yr
Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...
Data Engineer
New York, NY · On-site
$125K - $150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...
Data Engineer
New York, NY · On-site
$125K - $150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...
Data Engineer
New York, NY · Hybrid
$200K - $230K/yr
The Data Engineer needs 3-5+ years of experience working as a Data Engineer building pipelines and ingestion/analytics engines w/ Python, SQL, ETL, DBT, AWS tooling, PostgreSQL, etc. ~70% pure Data ...
Quick apply
Data Engineer
New York, NY · Hybrid
$200K - $230K/yr
The Data Engineer needs 3-5+ years of experience working as a Data Engineer building pipelines and ingestion/analytics engines w/ Python, SQL, ETL, DBT, AWS tooling, PostgreSQL, etc. ~70% pure Data ...
Data Engineer
New York, NY · On-site
$120K - $150K/yr
About the Team You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and ...
Data Engineer
New York, NY · On-site
$120K - $150K/yr
About the Team You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and ...
Data Engineer
New York, NY · On-site
$125K - $150K/yr
Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type: Contract Note: Interview mode: (Final round will be in person Interview at client location) Note:
Quick apply
Data Engineer
New York, NY · On-site
$125K - $150K/yr
Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type: Contract Note: Interview mode: (Final round will be in person Interview at client location) Note:
Data Engineer
Rutherford, NJ · On-site
$116K - $140K/yr
Applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability. * Applies strong ...
Data Engineer
Rutherford, NJ · On-site
$116K - $140K/yr
Applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability. * Applies strong ...
Data Engineer
New York, NY · On-site
$125K - $150K/yr
Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and New Jersey :- Required Skills: * Proficiency in data engineering programming languages (preferably ...
Quick apply
Data Engineer
New York, NY · On-site
$125K - $150K/yr
Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and New Jersey :- Required Skills: * Proficiency in data engineering programming languages (preferably ...
Data Engineer
New York, NY · On-site +1
$105K - $145K/yr
You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...
Quick apply
Data Engineer
New York, NY · On-site +1
$105K - $145K/yr
You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...
Data Engineer
New York, NY · On-site
$105K - $145K/yr
You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...
Data Engineer
New York, NY · On-site
$105K - $145K/yr
You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...
Data Engineer
New York, NY · On-site
$125K - $150K/yr
Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) * 2. ...
Quick apply
Data Engineer
New York, NY · On-site
$125K - $150K/yr
Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) * 2. ...
Data Engineer
Totowa, NJ · On-site
$116K - $139K/yr
Identifies opportunities to automate data engineering processes and executes with direction of peers and management. * Maintains and improves the quality of data for all systems. * Ensures data ...
Quick apply
Data Engineer
Totowa, NJ · On-site
$116K - $139K/yr
Identifies opportunities to automate data engineering processes and executes with direction of peers and management. * Maintains and improves the quality of data for all systems. * Ensures data ...
Data Engineer
$140K - $180K/yr
Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...
Data Engineer
$140K - $180K/yr
Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...
Data Engineer information
See Montvale, NJ salary details
$46.5K - $59.2K
0% of jobs
$59.2K - $71.8K
1% of jobs
$71.8K - $84.4K
3% of jobs
$84.4K - $97.1K
4% of jobs
$97.1K - $109.7K
7% of jobs
$120.8K is the 25th percentile. Wages below this are outliers.
$109.7K - $122.4K
11% of jobs
$122.4K - $135K
12% of jobs
The median wage is $138.4K / yr.
$135K - $147.6K
45% of jobs
$147.6K - $160.3K
8% of jobs
$160.3K - $172.9K
5% of jobs
$172.9K - $185.6K
3% of jobs
$46.5K
$135.6K
$185.6K
How much do data engineer jobs pay per year?
As of Aug 7, 2026, the average yearly pay for data engineer in Montvale, NJ is $135,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $143,700.00 per year, depending on experience, location, and employer.
What is the difference between Data Engineer vs Data Scientist?
| Aspect | Data Engineer | Data Scientist |
|---|---|---|
| Primary Focus | Building and maintaining data pipelines and infrastructure | Analyzing data to extract insights and create models |
| Skills | SQL, ETL, programming (Python, Java), database management | Statistics, machine learning, data analysis, programming (Python, R) |
| Work Environment | Data warehouses, cloud platforms, backend systems | Data analysis environments, research labs, visualization tools |
| Common Tools | Apache Spark, Hadoop, Airflow, SQL | Jupyter, RStudio, Tableau, scikit-learn |
Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.
What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?
To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.
What does a data engineer do?
The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.
What is a data engineer?
Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.
How do data engineers typically collaborate with data scientists and analysts within an organization?
Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.
Is a data engineer entry level?
Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Montvale, NJ? The most popular types of Data Engineer jobs in Montvale, NJ are:
What cities near Montvale, NJ are hiring for Data Engineer jobs? Cities near Montvale, NJ with the most Data Engineer job openings:
$128K - $154K/yr
Full-time
Re-posted 28 days ago
W.R. Berkley rating
9.0
Based on 8 frontline employees who took The Breakroom Quiz
36th of 303 rated insurance
Job description
Job Summary:
W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows.
Responsibilities:
• Write production‑quality code for data ingestion, transformation, orchestration, and monitoring.
• Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Spark‑based pipelines).
• Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
• Apply AI‑assisted engineering approaches, including LLM‑enabled tools or agents, to improve data quality, observability, documentation, and productivity.
• Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
• Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
• Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
• Communicate system design, trade‑offs, and limitations clearly to technical and non‑technical stakeholders.
• Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications:
Required:
• 4–7 years of relevant data engineering, software engineering, or technical experience.
• A Master’s degree in Data Engineering or Computer Science.
• Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
• Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
• Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
• Experience applying AI, machine learning, or LLM‑based tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
• Experience working with large or complex data flows and creating defensible system designs and implementation plans.
• Strong professional judgment, curiosity, and attention to detail.
Company:
Founded in 1967, W. R. Founded in 1967, the company is headquartered in Greenwich, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows.
Responsibilities:
• Write production‑quality code for data ingestion, transformation, orchestration, and monitoring.
• Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Spark‑based pipelines).
• Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
• Apply AI‑assisted engineering approaches, including LLM‑enabled tools or agents, to improve data quality, observability, documentation, and productivity.
• Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
• Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
• Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
• Communicate system design, trade‑offs, and limitations clearly to technical and non‑technical stakeholders.
• Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications:
Required:
• 4–7 years of relevant data engineering, software engineering, or technical experience.
• A Master’s degree in Data Engineering or Computer Science.
• Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
• Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
• Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
• Experience applying AI, machine learning, or LLM‑based tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
• Experience working with large or complex data flows and creating defensible system designs and implementation plans.
• Strong professional judgment, curiosity, and attention to detail.
Company:
Founded in 1967, W. R. Founded in 1967, the company is headquartered in Greenwich, USA, with a team of 5001-10000 employees. The company is currently Late Stage.