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Senior Data Engineer Jobs in Colts Neck, NJ (NOW HIRING)

Trexquant Investment

Senior Data Engineer

New York, NY · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ...

DoubleVerify

Sr. Data Engineer I

New York, NY · 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 ...

Wagmo

Senior Data Engineer

New York, NY · On-site

$180K - $205K/yr

About The Role Wagmo is hiring a Senior Data Engineer to own our pipelines and data warehouse end to end. You'll make our data reliable enough to run the business on and clean enough for the AI tools ...

datafuelX Inc.

Sr Data Engineer

New York, NY · 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 ...

datafuelX Inc.

Sr Data Engineer

New York, NY · On-site

$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 ...

Ekimetrics

Senior Data Engineer

New York, NY · On-site

$125K - $140K/yr

Your Responsibilities As a Senior Data Engineer, you will lead and contribute to high-impact projects with top-tier international clients across industries, designing, implementing, and optimizing ET ...

Ekimetrics

Senior Data Engineer

New York, NY · On-site

$125K - $140K/yr

Your Responsibilities As a Senior Data Engineer, you will lead and contribute to high-impact projects with top-tier international clients across industries, designing, implementing, and optimizing ET ...

YieldStreet, Inc.

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

About the Role Willow Wealth is seeking a Senior Data Engineer who will be responsible for owning and improving the company's data stack. This includes expanding our data warehouse, building ...

Amtex System Inc.

Senior Data Engineer (FinTech)

Princeton, NJ · On-site

$111K - $151K/yr

Senior Data Engineer (FinTech) Job Location: Princeton, NJ Work Model : Hybrid Preferred (Remote is possible) Job Type: Permanent / Direct Hire Must-Have Skills: * Experience with FinTech/Financial ...

Bristol Myers Squibb

Senior Data Engineer

Princeton, NJ · On-site

$137K - $166K/yr

As a Senior Data Engineer in Research IT, you will play a critical role supporting Bristol Myers Squibb's Foundational Data Products , including CoreReg, Substance Mart, DARE, and Asset Mart . You ...

Garner Health

Senior Data Engineer

New York, NY

$220K - $245K/yr

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 ...

Contact Government Services, LLC

Sr. Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Sr. Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Colts Neck, NJ

Senior Data Engineer information

See Colts Neck, NJ salary details

$81.6K

$127.3K

$176.4K

How much do senior data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior data engineer in Colts Neck, NJ is $127,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $145,100.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

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 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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What cities near Colts Neck, NJ are hiring for Senior Data Engineer jobs?

Cities near Colts Neck, NJ with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Colts Neck, NJ as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $127,330 per year, or $61.2 per hour.

Senior Data Engineer

Trexquant Investment

New York, NY • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted 9 days ago

Job description

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ingestion, normalization, storage, and ongoing maintenance of large-scale financial and alternative datasets from hundreds of global vendors.

The successful candidate will develop scalable data pipelines that transform raw vendor feeds into clean, consistent, research-ready datasets for systematic researchers and simulation platforms. Working closely with quantitative researchers, data platform engineers, and infrastructure teams, this person will ensure that market, reference, and alternative data is accurate, reliable, and readily accessible across asset classes including equities, options, futures, fixed income, ETFs, and foreign exchange.

This is an ideal opportunity for an engineer who enjoys solving complex data engineering challenges in a research-driven environment where data quality, scalability, and performance directly impact alpha generation.

Responsibilities
  • Design, build, and maintain scalable ingestion pipelines for market, reference, tick, and alternative data from a diverse set of external vendors.
  • Own the normalization, validation, storage, and lifecycle management of research datasets, ensuring data is accurate, consistent, and readily accessible for quantitative research and simulation.
  • Develop and optimize Python- and SQL-based data processing workflows supporting multiple asset classes, including equities, options, futures, fixed income, ETFs, and FX.
  • Partner with quantitative researchers, data architects, and infrastructure teams to onboard new datasets, improve data quality, and deliver reliable research-ready data.
  • Build monitoring, automation, and operational tooling to ensure the reliability, performance, and scalability of the firm's data platform.
  • Document data pipelines and engineering best practices while contributing to the ongoing evolution of Trexquant's research data infrastructure.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
  • 5+ years of data engineering experience within a systematic trading, quantitative research, hedge fund, or financial technology environment.
  • Python and SQL development experience in building large-scale data ingestion and ETL pipelines.
  • Strong Linux experience, including scripting, automation, and operating production data processing systems.
  • Deep knowledge of financial data across multiple asset classes, including equities, options, futures, fixed income, ETFs, FX, and alternative datasets.
  • Experience working with market data, tick data, reference data, and vendor data feeds, including normalization, validation, and quality control.
  • Familiarity with modern data storage formats and technologies such as Parquet, Arrow, object storage, and columnar databases.
  • Strong communication and collaboration skills, with the ability to work effectively alongside researchers and engineering teams.

Benefits

  • Competitive salary plus bonus based on individual and company performance.
  • Collaborative, casual, and friendly work environment.
  • PPO health, dental, and vision insurance premiums fully covered for you and your dependents.
  • Pre-tax commuter benefits.
  • Weekly company meals.

Applications are open for both Stamford and New York City offices, the latter with a planned opening in September 2026.

The base salary range is $150,000–$200,000, depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.

Trexquant is an Equal Opportunity Employer.