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

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 ...

datafuelX

Sr Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Summary : datafuelX is seeking a Senior Data Engineer to help evolve their data platform for sell-side media business. The role involves designing and maintaining data pipelines, ensuring data ...

Enigma Technologies, Inc.

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Enigma Technologies, Inc. is on the verge of releasing innovative small business intelligence products and is looking for a Senior Data Engineer to join their team. The role involves designing ...

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 ...

CoreWeave

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

They are seeking a Senior Data Engineer to design and build foundational datasets that power analytics and AI, while partnering with various teams to ensure data quality and performance across the ...

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 ...

RIT Solutions, Inc.

Senior Data Engineer

Summit, NJ · On-site

$112K - $153K/yr

RIT Solutions, Inc. is seeking a Senior Data Engineer to architect, create, and maintain data pipelines. The role involves collaborating with data science teams, training counterparts in data ...

K-Tek Resourcing LLC

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Job Title - Senior Data Engineer Location - San Jose, CA (Day-1 Onsite/Hybrid) Duration - Long Term Contract Responsibilities * Lead the end-to-end migration (transformation and load) of high-volume ...

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 ...

Versant Media

Senior Data Engineer

Manhattan, NY · Hybrid

$116K - $158K/yr

The Data Engineering team is seeking a Senior Data Engineer to help design, build, and scale the modern data platform that powers analytics, data science, and data products across Versant brands. In ...

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 ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Basking Ridge, NJ

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 Aug 18, 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.

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 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:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Basking Ridge, NJ as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% 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.

Sr Data Engineer

datafuelX Inc.

New York, NY • Hybrid

$125K - $150K/yr

Full-time

Re-posted 17 days ago

Job description

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
data-driven workflows and a broad range of media monetization use cases, with an emphasis
on scalable, open data architectures.

You'll work on high-volume, revenue-critical media data while helping modernize how data is
stored, processed, and served across the organization. This is a hands-on role for engineers
who enjoy building, migrating, and improving platforms, not just maintaining them.

What You'll Do

  • Design, build, and maintain scalable, reliable data pipelines that support sell-side media
    monetization.
  • Ingest, integrate, transform, and model high-volume media and campaign data from
    multiple sources, delivering analytics-ready datasets that meet quality, accessibility, and
    business requirements.
  • Develop lakehouse-style data models that balance flexibility, performance, and cost
    efficiency, enabling reporting, analytics, operational workflows, and downstream
    consumption.
  • Build, optimize, and maintain ETL/ELT processes for both batch and near-real-time
    workloads, orchestrated with modern workflow tools (e.g., Airflow, Dagster).
  • Collaborate with machine learning, client-facing, product, application, and analytics teams to understand requirements, support ML feature productionization, and enable
    self-service insights.
  • Ensure data quality, lineage, observability, governance, and security, safeguarding cloud
    data assets and maintaining trust in revenue-critical systems.
  • Contribute to platform evolution and migration efforts, including evaluating tools,
    improving workflows, and reducing architectural complexity.
  • Continuously optimize pipelines, queries, and storage for performance, scalability, and
    cost efficiency.
  • Mentor junior engineers and participate in technical design and architecture reviews.
  • Detect, investigate, and resolve data anomalies to maintain pipeline reliability and data
    trustworthiness.

Required Experience & Skills

Core Requirements

  • 5+ years of experience in building highly scalable and reliable data engineering and
    analytics platforms
  • Strong experience building and optimizing modern data pipelines, architectures, and
    datasets using Data Lake, Data Warehouse, and Lakehouse paradigms
  • Advanced SQL, Python, and PySpark skills and experience building analytics-ready data models
  • Experience using Iceberg, Delta, and Parquet data formats
  • Experience using Dagster and Airflow orchestration tools
  • 2+ years hands-on experience with cloud platforms, such as GCP & AWS
  • Experience designing and building data pipelines on object storage-based platforms (e.g., S3, Wasabi, Dremio, Snowflake, Delta Lake) to process and manage large-scale analytical datasets
  • Solid understanding of data quality, testing, monitoring, and operational reliability
  • Strong communication skills and ability to work closely with technical and non-technical
    stakeholders
  • Experience collaborating with Software Engineers using Agile methodologies to build web applications that access, visualize, and sometimes update big data stores in a hybrid OLAP and OLTP environment.
  • Bachelor's degree or equivalent work experience (minimum 5 years) in Computer Science or related field

Preferred/Nice-to-Have

  • Experience in media industry strongly preferred including familiarity with sell-side
    concepts (linear TV or digital inventory, campaign delivery, pacing, audience-based selling and measurement)
  • 1+ years experience supporting or leading data platform migrations, hybrid architectures, or warehouse-to-lakehouse transitions using Dremio is a strong plus
  • Experience with Tableau, Metabase, or other data visualization tools
  • Experience working in an operational environment with time-sensitive customer
    commitments

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